Instructions to use splitner/spanclass-qa-crossentropy-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spanclass-qa-crossentropy-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spanclass-qa-crossentropy-ontonotes") model = AutoModel.from_pretrained("splitner/spanclass-qa-crossentropy-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from splitner/spanclass-qa-crossentropy-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 1.97 kB
-
https://huggingface.co/splitner/spanclass-qa-crossentropy-ontonotes/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spanclass-qa-crossentropy-ontonotes/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spanclass-qa-crossentropy-ontonotes/resolve/main/training_args.bin
1.97 kB
- Xet hash:
- 0f8f33f6780f577dd21415cedcc017477aeb6cc0d66e18b629d5c02677cb0552
- Size of remote file:
- 1.97 kB
- SHA256:
- 2bc6cb0995928c5e4b4dc34894d5b40323727ecf31546903d097a618de2b5532
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