bugfix: Autoload errors for PretrainedModel on case-sensitive operating systems.

- Renamed class "PreTrainedModel" to "PretrainedModel" for consistency.
- Updated and renamed affected child classes.

Author: CodeWithKyrian

src/Models/Auto/PretrainedMixin.php

@@ -7,7 +7,7 @@
 
 use Codewithkyrian\Transformers\Exceptions\UnsupportedModelTypeException;
 use Codewithkyrian\Transformers\Models\ModelArchitecture;
-use Codewithkyrian\Transformers\Models\Pretrained\PreTrainedModel;
+use Codewithkyrian\Transformers\Models\Pretrained\PretrainedModel;
 use Codewithkyrian\Transformers\Utils\AutoConfig;
 use Symfony\Component\Console\Output\OutputInterface;
 
@@ -38,7 +38,7 @@ abstract class PretrainedMixin
      * @param string|null $cacheDir The cache directory to save the model in.
      * @param string $revision The revision of the model.
      * @param string|null $modelFilename The filename of the model.
-     * @return PreTrainedModel The instantiated pretrained model.
+     * @return PretrainedModel The instantiated pretrained model.
      */
     public static function fromPretrained(
         string  $modelNameOrPath,
@@ -48,7 +48,7 @@ public static function fromPretrained(
         string  $revision = 'main',
         ?string $modelFilename = null,
         ?OutputInterface $output = null
-    ): PreTrainedModel
+    ): PretrainedModel
     {
         $config = AutoConfig::fromPretrained($modelNameOrPath, $config, $cacheDir, $revision, $output);
 
@@ -75,7 +75,7 @@ public static function fromPretrained(
         if (static::BASE_IF_FAIL) {
             echo "Unknown model class for model type {$config->modelType}. Using base class PreTrainedModel.\n";
 
-            return PreTrainedModel::fromPretrained(
+            return PretrainedModel::fromPretrained(
                 modelNameOrPath: $modelNameOrPath,
                 quantized: $quantized,
                 config: $config,

src/Models/ModelArchitecture.php

@@ -6,7 +6,7 @@
 
 use Codewithkyrian\Transformers\Exceptions\MissingModelInputException;
 use Codewithkyrian\Transformers\Exceptions\ModelExecutionException;
-use Codewithkyrian\Transformers\Models\Pretrained\PreTrainedModel;
+use Codewithkyrian\Transformers\Models\Pretrained\PretrainedModel;
 use Codewithkyrian\Transformers\Utils\GenerationConfig;
 use Codewithkyrian\Transformers\Utils\Tensor;
 
@@ -30,7 +30,7 @@ public function canGenerate(): bool
         };
     }
 
-    public function runBeam(PreTrainedModel $model, array &$beam): array
+    public function runBeam(PretrainedModel $model, array &$beam): array
     {
         return match ($this) {
             self::DecoderOnly => $this->decoderRunBeam($model, $beam),
@@ -40,7 +40,7 @@ public function runBeam(PreTrainedModel $model, array &$beam): array
     }
 
     public function startBeams(
-        PreTrainedModel  $model,
+        PretrainedModel  $model,
         Tensor           $inputTokenIds,
         GenerationConfig $generationConfig,
         int              $numOutputTokens,
@@ -63,7 +63,7 @@ public function updateBeam(array &$beam, int $newTokenId): void
         };
     }
 
-    public function forward(PreTrainedModel $model, array $modelInputs): array
+    public function forward(PretrainedModel $model, array $modelInputs): array
     {
         return match ($this) {
             self::EncoderOnly => $this->encoderForward($model, $modelInputs),
@@ -77,7 +77,7 @@ public function forward(PreTrainedModel $model, array $modelInputs): array
 
     //<editor-fold desc="Encoder methods">
 
-    protected function encoderForward(PreTrainedModel $model, array $modelInputs): array
+    protected function encoderForward(PretrainedModel $model, array $modelInputs): array
     {
         $encoderFeeds = [];
 
@@ -102,11 +102,11 @@ protected function encoderForward(PreTrainedModel $model, array $modelInputs): a
 
     /**
      * Runs a single step of the text generation process for a given beam.
-     * @param PreTrainedModel $model The text generation model object.
+     * @param PretrainedModel $model The text generation model object.
      * @param array $beam The beam to run the generation process for.
      * @return array The output of the generation process for the given beam.
      */
-    protected function decoderRunBeam(PreTrainedModel $model, array &$beam): array
+    protected function decoderRunBeam(PretrainedModel $model, array &$beam): array
     {
         $attnMaskLength = count($beam['output_token_ids']);
         $attnMaskData = array_fill(0, $attnMaskLength, 1);
@@ -128,15 +128,15 @@ protected function decoderRunBeam(PreTrainedModel $model, array &$beam): array
     }
 
     /** Starts the generation of text by initializing the beams for the given input token IDs.
-     * @param PreTrainedModel $model The text generation model object.
+     * @param PretrainedModel $model The text generation model object.
      * @param Tensor $inputTokenIds A tensor of input token IDs to generate text from.
      * @param GenerationConfig $generationConfig The generation config.
      * @param int $numOutputTokens The maximum number of tokens to generate for each beam.
      * @param Tensor|null $inputsAttentionMask The attention mask tensor for the input token IDs.
      * @return array An array of beams initialized with the given inputs and parameters.
      */
     protected function decoderStartBeams(
-        PreTrainedModel  $model,
+        PretrainedModel  $model,
         Tensor           $inputTokenIds,
         GenerationConfig $generationConfig,
         int              $numOutputTokens,
@@ -195,12 +195,12 @@ protected function decoderUpdatebeam(array &$beam, int $newTokenId): void
 
     /**
      * Forward pass for the decoder model.
-     * @param PreTrainedModel $model The model to use for the forward pass.
+     * @param PretrainedModel $model The model to use for the forward pass.
      * @param array $modelInputs The inputs to the model.
      * @return array The output of the forward pass.
      * @throws MissingModelInputException|ModelExecutionException
      */
-    protected function decoderForward(PreTrainedModel $model, array $modelInputs): array
+    protected function decoderForward(PretrainedModel $model, array $modelInputs): array
     {
         ['input_ids' => $inputIds, 'past_key_values' => $pastKeyValues, 'attention_mask' => $attentionMask]
             = $modelInputs;
@@ -234,7 +234,7 @@ protected function decoderForward(PreTrainedModel $model, array $modelInputs): a
 
     //<editor-fold desc="Seq2Seq methods">
 
-    protected function seq2seqRunBeam(PreTrainedModel $model, array &$beam): array
+    protected function seq2seqRunBeam(PretrainedModel $model, array &$beam): array
     {
         $inputName = $model->mainInputName;
 
@@ -270,14 +270,14 @@ protected function seq2seqRunBeam(PreTrainedModel $model, array &$beam): array
     }
 
     /** Start the beam search process for the seq2seq model.
-     * @param PreTrainedModel $model The model to use for the beam search.
+     * @param PretrainedModel $model The model to use for the beam search.
      * @param Tensor $inputTokenIds Array of input token ids for each input sequence.
      * @param GenerationConfig $generationConfig The generation configuration.
      * @param int $numOutputTokens The maximum number of output tokens for the model.
      * @return array Array of beam search objects.
      */
     protected function seq2seqStartBeams(
-        PreTrainedModel  $model,
+        PretrainedModel  $model,
         Tensor           $inputTokenIds,
         GenerationConfig $generationConfig,
         int              $numOutputTokens,
@@ -330,7 +330,7 @@ protected function seq2seqUpdatebeam(array &$beam, int $newTokenId): void
         $beam['output_token_ids'][] = $newTokenId;
     }
 
-    protected function seq2seqForward(PreTrainedModel $model, array $modelInputs): array
+    protected function seq2seqForward(PretrainedModel $model, array $modelInputs): array
     {
 
         ['encoder_outputs' => $encoderOutputs, 'past_key_values' => $pastKeyValues] = $modelInputs;

src/Models/Pretrained/AlbertForMaskedLM.php

@@ -9,7 +9,7 @@
 /**
  * AlbertForMaskedLM class for performing masked language modeling on albert models.
  */
-class AlbertForMaskedLM extends BertPreTrainedModel
+class AlbertForMaskedLM extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): MaskedLMOutput
     {

src/Models/Pretrained/AlbertForQuestionAnswering.php

@@ -10,7 +10,7 @@
 /**
  * AlbertForQuestionAnswering is a class representing a Albert model for sequence classification.
  */
-class AlbertForQuestionAnswering extends BertPreTrainedModel
+class AlbertForQuestionAnswering extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): SequenceClassifierOutput
     {

src/Models/Pretrained/AlbertForSequenceClassification.php

@@ -10,7 +10,7 @@
 /**
  * AlbertForSequenceClassification is a class representing a Albert model for sequence classification.
  */
-class AlbertForSequenceClassification extends BertPreTrainedModel
+class AlbertForSequenceClassification extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): SequenceClassifierOutput
     {

src/Models/Pretrained/AlbertModel.php

@@ -5,7 +5,7 @@
 
 namespace Codewithkyrian\Transformers\Models\Pretrained;
 
-class AlbertModel extends AlbertPreTrainedModel
+class AlbertModel extends AlbertPretrainedModel
 {
 
 }

src/Models/Pretrained/AlbertPreTrainedModel.php src/Models/Pretrained/AlbertPretrainedModel.php

@@ -5,7 +5,7 @@
 
 namespace Codewithkyrian\Transformers\Models\Pretrained;
 
-class AlbertPreTrainedModel extends PreTrainedModel
+class AlbertPretrainedModel extends PretrainedModel
 {
 
 }

src/Models/Pretrained/BertForMaskedLM.php

@@ -9,7 +9,7 @@
 /**
  * BertForMaskedLM class for performing masked language modeling on BERT models.
  */
-class BertForMaskedLM extends BertPreTrainedModel
+class BertForMaskedLM extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): MaskedLMOutput
     {

src/Models/Pretrained/BertForQuestionAnswering.php

@@ -10,7 +10,7 @@
 /**
  * BertForQuestionAnswering is a class representing a BERT model for question answering.
  */
-class BertForQuestionAnswering extends BertPreTrainedModel
+class BertForQuestionAnswering extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): QuestionAnsweringModelOutput
     {

src/Models/Pretrained/BertForSequenceClassification.php

@@ -10,7 +10,7 @@
 /**
  * BertForSequenceClassification is a class representing a BERT model for sequence classification.
  */
-class BertForSequenceClassification extends BertPreTrainedModel
+class BertForSequenceClassification extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): SequenceClassifierOutput
     {

src/Models/Pretrained/BertForTokenClassification.php

@@ -10,7 +10,7 @@
 /**
  * BertForTokenClassification is a class representing a BERT model for token classification.
  */
-class BertForTokenClassification extends BertPreTrainedModel
+class BertForTokenClassification extends BertPretrainedModel
 {
     public function __invoke(array $modelInputs): TokenClassifierOutput
     {

src/Models/Pretrained/BertModel.php

@@ -5,6 +5,6 @@
 
 namespace Codewithkyrian\Transformers\Models\Pretrained;
 
-class BertModel extends BertPreTrainedModel
+class BertModel extends BertPretrainedModel
 {
 }

src/Models/Pretrained/BertPreTrainedModel.php src/Models/Pretrained/BertPretrainedModel.php

@@ -5,7 +5,7 @@
 
 namespace Codewithkyrian\Transformers\Models\Pretrained;
 
-class BertPreTrainedModel extends PretrainedModel
+class BertPretrainedModel extends PretrainedModel
 {
 
 }

src/Models/Pretrained/CodeGenForCausalLM.php

@@ -8,7 +8,7 @@
 /**
  * CodeGenForCausalLM is a class that represents a code generation model based on the GPT-2 architecture. It extends the `CodeGenPreTrainedModel` class.
  */
-class CodeGenForCausalLM extends CodeGenPreTrainedModel
+class CodeGenForCausalLM extends CodeGenPretrainedModel
 {
 
 }

src/Models/Pretrained/CodeGenModel.php

@@ -8,7 +8,7 @@
 /**
  * CodeGenModel is a class representing a code generation model without a language model head.
  */
-class CodeGenModel extends CodeGenPreTrainedModel
+class CodeGenModel extends CodeGenPretrainedModel
 {
 
 }

src/Models/Pretrained/CodeGenPreTrainedModel.php src/Models/Pretrained/CodeGenPretrainedModel.php

@@ -9,7 +9,7 @@
 use Codewithkyrian\Transformers\Utils\AutoConfig;
 use OnnxRuntime\InferenceSession;
 
-class CodeGenPreTrainedModel extends PretrainedModel
+class CodeGenPretrainedModel extends PretrainedModel
 {
     protected int $numHeads;
     protected int $numLayers;

src/Models/Pretrained/DebertaForMaskedLM.php

@@ -9,7 +9,7 @@
 /**
  * DebertaForMaskedLM class for performing masked language modeling on DeBERTa models.
  */
-class DebertaForMaskedLM extends DebertaPreTrainedModel
+class DebertaForMaskedLM extends DebertaPretrainedModel
 {
     public function __invoke(array $modelInputs): MaskedLMOutput
     {

src/Models/Pretrained/DebertaForQuestionAnswering.php

@@ -11,7 +11,7 @@
  * DeBERTa Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear
  * layers on top of the hidden-states output to compute `span start logits` and `span end logits`).
  */
-class DebertaForQuestionAnswering extends DebertaPreTrainedModel
+class DebertaForQuestionAnswering extends DebertaPretrainedModel
 {
     public function __invoke(array $modelInputs): QuestionAnsweringModelOutput
     {

src/Models/Pretrained/DebertaForSequenceClassification.php

@@ -10,7 +10,7 @@
 /**
  * DebertaForSequenceClassification is a class representing a DeBERTa model for sequence classification.
  */
-class DebertaForSequenceClassification extends DebertaPreTrainedModel
+class DebertaForSequenceClassification extends DebertaPretrainedModel
 {
     public function __invoke(array $modelInputs): SequenceClassifierOutput
     {

src/Models/Pretrained/DebertaForTokenClassification.php

@@ -10,7 +10,7 @@
 /**
  * DebertaForTokenClassification is a class representing a DeBERTa model for token classification.
  */
-class DebertaForTokenClassification extends DebertaPreTrainedModel
+class DebertaForTokenClassification extends DebertaPretrainedModel
 {
     public function __invoke(array $modelInputs): TokenClassifierOutput
     {

src/Models/Pretrained/DebertaModel.php

@@ -8,7 +8,7 @@
 /**
  * The bare DeBERTa Model transformer outputting raw hidden-states without any specific head on top.
  */
-class DebertaModel extends DebertaPreTrainedModel
+class DebertaModel extends DebertaPretrainedModel
 {
 
 }

src/Models/Pretrained/DebertaPreTrainedModel.php src/Models/Pretrained/DebertaPretrainedModel.php

@@ -5,7 +5,7 @@
 
 namespace Codewithkyrian\Transformers\Models\Pretrained;
 
-class DebertaPreTrainedModel extends PreTrainedModel
+class DebertaPretrainedModel extends PretrainedModel
 {
 
 }

src/Models/Pretrained/DebertaV2ForMaskedLM.php

@@ -9,7 +9,7 @@
 /**
  * DeBERTa-V2 Model with a `language modeling` head on top.
  */
-class DebertaV2ForMaskedLM extends DebertaV2PreTrainedModel
+class DebertaV2ForMaskedLM extends DebertaV2PretrainedModel
 {
     public function __invoke(array $modelInputs): MaskedLMOutput
     {

src/Models/Pretrained/DebertaV2ForQuestionAnswering.php

@@ -11,7 +11,7 @@
  * DeBERTa-V2 Model with a span classification head on top for extractive question-answering tasks like SQuAD (a linear
  * layers on top of the hidden-states output to compute `span start logits` and `span end logits`).
  */
-class DebertaV2ForQuestionAnswering extends DebertaV2PreTrainedModel
+class DebertaV2ForQuestionAnswering extends DebertaV2PretrainedModel
 {
     public function __invoke(array $modelInputs): QuestionAnsweringModelOutput
     {

src/Models/Pretrained/DebertaV2ForSequenceClassification.php

@@ -10,7 +10,7 @@
 /**
  * DeBERTa-V2 Model transformer with a sequence classification/regression head on top (a linear layer on top of the pooled output)
  */
-class DebertaV2ForSequenceClassification extends DebertaV2PreTrainedModel
+class DebertaV2ForSequenceClassification extends DebertaV2PretrainedModel
 {
     public function __invoke(array $modelInputs): SequenceClassifierOutput
     {

src/Models/Pretrained/DebertaV2ForTokenClassification.php

@@ -10,7 +10,7 @@
 /**
  * DeBERTa-V2 Model with a token classification head on top (a linear layer on top of the hidden-states output) e.g. for Named-Entity-Recognition (NER) tasks.
  */
-class DebertaV2ForTokenClassification extends DebertaV2PreTrainedModel
+class DebertaV2ForTokenClassification extends DebertaV2PretrainedModel
 {
     public function __invoke(array $modelInputs): TokenClassifierOutput
     {

src/Models/Pretrained/DebertaV2Model.php

@@ -8,7 +8,7 @@
 /**
  * The bare DeBERTa-V2 Model transformer outputting raw hidden-states without any specific head on top.
  */
-class DebertaV2Model extends DebertaV2PreTrainedModel
+class DebertaV2Model extends DebertaV2PretrainedModel
 {
 
 }