Instructions to use splitner/spanclass-qa-dice-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spanclass-qa-dice-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spanclass-qa-dice-bionlp13cg") model = AutoModel.from_pretrained("splitner/spanclass-qa-dice-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from splitner/spanclass-qa-dice-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/splitner/spanclass-qa-dice-bionlp13cg/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spanclass-qa-dice-bionlp13cg/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spanclass-qa-dice-bionlp13cg/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- ac1e400b84ca7aca5a70b77153e2f59b0301e8745f2ab3fd200ccae7ae120218
- Size of remote file:
- 2.1 kB
- SHA256:
- c1034fb299b54295696b5b0519ceb0a6e19a85b181abd8cf8409ef0077327cc7
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