Instructions to use splitner/single-seqtag-bionlp13cg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-seqtag-bionlp13cg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-seqtag-bionlp13cg") model = AutoModel.from_pretrained("splitner/single-seqtag-bionlp13cg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/single-seqtag-bionlp13cg: direct link, hf CLI and curl.
- Browser
- Download file 937 MB
-
https://huggingface.co/splitner/single-seqtag-bionlp13cg/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://splitner/single-seqtag-bionlp13cg@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/single-seqtag-bionlp13cg/resolve/refs%2Fpr%2F1/optimizer.pt
937 MB
- Xet hash:
- 60f2e485e4f7388da57302dba83c85602e8a3ad6088a9e8a076bd54065ff6a73
- Size of remote file:
- 937 MB
- SHA256:
- ba44ef13a40bb66a043ead135fee59d126cffa4144bfb62c2b0fbbc4872c1aaa
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