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 pytorch_model.bin from splitner/spandetect-qa-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 525 MB
-
https://huggingface.co/splitner/spandetect-qa-ontonotes/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://splitner/spandetect-qa-ontonotes/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/splitner/spandetect-qa-ontonotes/resolve/main/pytorch_model.bin
525 MB
- Xet hash:
- 293a89130767d5f66b208a412088590796cfe09ff1c38672bf7bbea92bd3288b
- Size of remote file:
- 525 MB
- SHA256:
- c72a949dc855d4a47d7c0b823250fde529d370a92d54b7cfed39a90eef1e55d2
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