Instructions to use splitner/spandetect-qa-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-qa-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-qa-ontonotes") model = AutoModel.from_pretrained("splitner/spandetect-qa-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from splitner/spandetect-qa-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 2.16 kB
-
https://huggingface.co/splitner/spandetect-qa-ontonotes/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spandetect-qa-ontonotes/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spandetect-qa-ontonotes/resolve/main/training_args.bin
2.16 kB
- Xet hash:
- 7bf4c241caadf1d01802b49000cf33b16e4cf4f4c0ba24fadff6b318728e6f64
- Size of remote file:
- 2.16 kB
- SHA256:
- b697ed4e165076c7f5e5e401ee83976d078f2c6897a7b8424f635363a94335d2
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