Instructions to use splitner/single-qa-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-qa-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-qa-ontonotes") model = AutoModel.from_pretrained("splitner/single-qa-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from splitner/single-qa-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/splitner/single-qa-ontonotes/resolve/main/optimizer.pt
- Command line
-
hf download hf://splitner/single-qa-ontonotes/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/splitner/single-qa-ontonotes/resolve/main/optimizer.pt
1.05 GB
- Xet hash:
- 6374fd42e0f9795580541b8f7b6e2c6557d35162a0d658c63945012ef98a4b8b
- Size of remote file:
- 1.05 GB
- SHA256:
- 927a6b52414d614dc455e74d4b655a157394ee2c5c7ca3aeb40fb12bf1e7e67f
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