Instructions to use splitner/spandetect-seqtag-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-seqtag-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-seqtag-ontonotes") model = AutoModel.from_pretrained("splitner/spandetect-seqtag-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-seqtag-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/splitner/spandetect-seqtag-ontonotes/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-seqtag-ontonotes@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-seqtag-ontonotes/resolve/refs%2Fpr%2F1/optimizer.pt
1.05 GB
- Xet hash:
- 277fd8a5ad1710868316cf9ad196004fb86c2711e61a8d5c46af30a761dcd6aa
- Size of remote file:
- 1.05 GB
- SHA256:
- 9593a410c19d82120f87fc9cda04a572309fa81212235b105f1a0093d6aeb054
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