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 optimizer.pt from splitner/single-qa-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 936 MB
-
https://huggingface.co/splitner/single-qa-bionlp13cg/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://splitner/single-qa-bionlp13cg@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/single-qa-bionlp13cg/resolve/refs%2Fpr%2F1/optimizer.pt
936 MB
- Xet hash:
- b9cd8aa5cd12d4b6339019c7e4d376d5598586bd05124118f5909ebe352738f1
- Size of remote file:
- 936 MB
- SHA256:
- b22e3a45b62776f88520839a79d412c03a9af2987feb9650fa7782d5cd414c43
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