Instructions to use splitner/spanclass-qa-crossentropy-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spanclass-qa-crossentropy-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spanclass-qa-crossentropy-bionlp13cg") model = AutoModel.from_pretrained("splitner/spanclass-qa-crossentropy-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from splitner/spanclass-qa-crossentropy-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/splitner/spanclass-qa-crossentropy-bionlp13cg/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://splitner/spanclass-qa-crossentropy-bionlp13cg/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/splitner/spanclass-qa-crossentropy-bionlp13cg/resolve/main/pytorch_model.bin
440 MB
- Xet hash:
- fb3105cafbe201f509efed74275f28526cd03015315df468eb922f0cb8d95f52
- Size of remote file:
- 440 MB
- SHA256:
- 94df3223ac804f53cf3319cf114123f6be5d2ba1e7f62ee83dc991c85435e2c1
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