Instructions to use splitner/spandetect-seqtag-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-seqtag-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-seqtag-bionlp13cg") model = AutoModel.from_pretrained("splitner/spandetect-seqtag-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-seqtag-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 936 MB
-
https://huggingface.co/splitner/spandetect-seqtag-bionlp13cg/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-seqtag-bionlp13cg/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-seqtag-bionlp13cg/resolve/main/optimizer.pt
936 MB
- Xet hash:
- eafa03b957285f57a2c36788183b716d8594567f1cd73fc16013dc5ae1c54e7b
- Size of remote file:
- 936 MB
- SHA256:
- 02b03a89266b2bc08a0dc14b25ff5fc94cb576026560172ccca9e635a48ce390
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