Instructions to use splitner/spandetect-qa-nocharpattern-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-qa-nocharpattern-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-qa-nocharpattern-ontonotes") model = AutoModel.from_pretrained("splitner/spandetect-qa-nocharpattern-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-qa-nocharpattern-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 993 MB
-
https://huggingface.co/splitner/spandetect-qa-nocharpattern-ontonotes/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-qa-nocharpattern-ontonotes/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-qa-nocharpattern-ontonotes/resolve/main/optimizer.pt
993 MB
- Xet hash:
- b6ac07ec0f64fafb6e479c2ee382fc6badc6fce3540c3f41369152c4fe15dfc1
- Size of remote file:
- 993 MB
- SHA256:
- 65f89e3be9acf790081c9aa16663cae096ebad1bff683f01450c986f9da6f5e9
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