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 training_args.bin from splitner/spanclass-qa-crossentropy-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/splitner/spanclass-qa-crossentropy-bionlp13cg/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spanclass-qa-crossentropy-bionlp13cg/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spanclass-qa-crossentropy-bionlp13cg/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- bc2f868b3ca885d9048d136d42baf35acc00f30d74e5b76e5d0224330a43e9eb
- Size of remote file:
- 2.1 kB
- SHA256:
- 72c528fc5060e53c42d664427314fa46b1c9593d2536cf3c685012f393a3c796
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