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Unable to find installation candidates for torch (2.3.1+cpu)
at /opt/homebrew/lib/python3.11/site-packages/poetry/installation/chooser.py:74 in choose_for
70│
71│ links.append(link)
72│
73│ if not links:
→ 74│ raise RuntimeError(f"Unable to find installation candidates for {package}")
75│
76│ # Get the best link
77│ chosen = max(links, key=lambda link: self._sort_key(package, link))
78│
Cannot install torch.
The text was updated successfully, but these errors were encountered:
just using pip install I managed to install the package.
Using the tutorial code for NLP I get the following warning and a completely empty website:
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using tokenizers before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
Spotlight running on http://127.0.0.1:54899/
huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...
To disable this warning, you can either:
- Avoid using tokenizers before the fork if possible
- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)
I tried adding TOKENIZERS_PARALLELISM=false to .env file but that didn't make a difference.
The warning might not represent the problem.
I understand that you start spotlight but you cant access it from your browser afterwards.
Can you try to review the dataframe you are passing into spotlight before you start spotlight?
Installing dependencies from lock file
Package operations: 1 install, 0 updates, 0 removals
RuntimeError
Unable to find installation candidates for torch (2.3.1+cpu)
at /opt/homebrew/lib/python3.11/site-packages/poetry/installation/chooser.py:74 in choose_for
70│
71│ links.append(link)
72│
73│ if not links:
→ 74│ raise RuntimeError(f"Unable to find installation candidates for {package}")
75│
76│ # Get the best link
77│ chosen = max(links, key=lambda link: self._sort_key(package, link))
78│
Cannot install torch.
The text was updated successfully, but these errors were encountered: