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 training_args.bin from splitner/spandetect-qa-empty-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/splitner/spandetect-qa-empty-bionlp13cg/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spandetect-qa-empty-bionlp13cg/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spandetect-qa-empty-bionlp13cg/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- ddb4fadac7cedceca52d2ee45f9d830a94c72f36ec3c4365354e483ca6be59db
- Size of remote file:
- 2.1 kB
- SHA256:
- accdf5637ccabe4ef797bcd0a69a7471a831ee23380b1e99b9a5d68af0265445
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