Instructions to use alinankali/test_facebook with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alinankali/test_facebook with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alinankali/test_facebook", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from alinankali/test_facebook: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/alinankali/test_facebook/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://alinankali/test_facebook/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alinankali/test_facebook/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- 18ef952cbe02fc4fa7667dca4643b743fa5a4b6e460a7053383aac03c8ff1c44
- Size of remote file:
- 2.28 GB
- SHA256:
- e2a0d911bb34f1fca80e842328c2d2bf7b6c6bca8802a36e7b60b6623cc89ef5
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