Instructions to use splitner/spandetect-qa-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-qa-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-qa-bionlp13cg") model = AutoModel.from_pretrained("splitner/spandetect-qa-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-qa-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 936 MB
-
https://huggingface.co/splitner/spandetect-qa-bionlp13cg/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-qa-bionlp13cg/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-qa-bionlp13cg/resolve/main/optimizer.pt
936 MB
- Xet hash:
- 4577ceaf8e0df27d83126648ef0f999a434bb4d2eb79e03f8dde90d19b462379
- Size of remote file:
- 936 MB
- SHA256:
- 99e2002536b008cab205e1e4cf300c93aa43c3bfb3ee0ee42450a6b089ca78f2
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