Instructions to use lysandre/test-upload-folder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/test-upload-folder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/test-upload-folder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lysandre/test-upload-folder") model = AutoModel.from_pretrained("lysandre/test-upload-folder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lysandre/test-upload-folder: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/lysandre/test-upload-folder/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lysandre/test-upload-folder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lysandre/test-upload-folder/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- bd95623ca5030a53e2d1f40768272cc68cff24523662cde989a781eacf5cf5c2
- Size of remote file:
- 438 MB
- SHA256:
- 965ae1ad12a154dc8960a07e4584150efa3d439c779551b783fecfc3bd759e83
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