Instructions to use Fujitsu/pytorrent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fujitsu/pytorrent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Fujitsu/pytorrent")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Fujitsu/pytorrent") model = AutoModel.from_pretrained("Fujitsu/pytorrent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Fujitsu/pytorrent: direct link, hf CLI and curl.
- Browser
- Download file 391 Bytes
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https://huggingface.co/Fujitsu/pytorrent/resolve/main/.gitattributes
- Command line
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hf download hf://Fujitsu/pytorrent/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Fujitsu/pytorrent/resolve/main/.gitattributes
391 Bytes
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