Instructions to use splitner/spanclass-qa-dice-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spanclass-qa-dice-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spanclass-qa-dice-ontonotes") model = AutoModel.from_pretrained("splitner/spanclass-qa-dice-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/spanclass-qa-dice-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 997 MB
-
https://huggingface.co/splitner/spanclass-qa-dice-ontonotes/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://splitner/spanclass-qa-dice-ontonotes@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/spanclass-qa-dice-ontonotes/resolve/refs%2Fpr%2F1/optimizer.pt
997 MB
- Xet hash:
- 4046c62c924f97acd0c92f5af1fff0f0b20c96b878ae3c2471f04b2bd2bcdb50
- Size of remote file:
- 997 MB
- SHA256:
- fb2a43e77ab05d6092351ec909f157103c1d2cafc59d2809f2a3c767b8199854
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