Instructions to use splitner/spandetect-qa-empty-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-qa-empty-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-qa-empty-bionlp13cg") model = AutoModel.from_pretrained("splitner/spandetect-qa-empty-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spandetect-qa-empty-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 879 MB
-
https://huggingface.co/splitner/spandetect-qa-empty-bionlp13cg/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/spandetect-qa-empty-bionlp13cg/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spandetect-qa-empty-bionlp13cg/resolve/main/optimizer.pt
879 MB
- Xet hash:
- 851196fd9a660c7f6ea6b37f41c199580321f58f84a2308e09e4681f37dc624b
- Size of remote file:
- 879 MB
- SHA256:
- 827a7ea41057ef00652017bfc078f8b32bfaefa0d5bb0f84908e7884bc4099d1
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