Instructions to use splitner/single-qa-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-qa-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-qa-bionlp13cg") model = AutoModel.from_pretrained("splitner/single-qa-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from splitner/single-qa-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 468 MB
-
https://huggingface.co/splitner/single-qa-bionlp13cg/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://splitner/single-qa-bionlp13cg/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/splitner/single-qa-bionlp13cg/resolve/main/pytorch_model.bin
468 MB
- Xet hash:
- 07c77e91e280eb327500a9de13b0ac27b488176c43c4fcfbb29d68b4d236599a
- Size of remote file:
- 468 MB
- SHA256:
- 7720ce8051f3bb4818371c54d508126437cf9429be51f64b69e85af47d6b647b
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