Instructions to use splitner/spandetect-qa-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-qa-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-qa-ontonotes") model = AutoModel.from_pretrained("splitner/spandetect-qa-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from splitner/spandetect-qa-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/splitner/spandetect-qa-ontonotes/resolve/main/scheduler.pt
- Command line
-
hf download hf://splitner/spandetect-qa-ontonotes/scheduler.pt
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curl -L -o scheduler.pt https://huggingface.co/splitner/spandetect-qa-ontonotes/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- fd4940c23aa7be7b5aa66a9eb59fbe8a7187fd2d20af7e7c51916e8a022883b4
- Size of remote file:
- 623 Bytes
- SHA256:
- 4d78f04feadc7a3272bd1b8d23e5a51b865204ec12251d174fe4b43af7cdcea2
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