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 scheduler.pt from splitner/single-qa-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/splitner/single-qa-ontonotes/resolve/refs%2Fpr%2F1/scheduler.pt
- Command line
-
hf download hf://splitner/single-qa-ontonotes@refs/pr/1/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/splitner/single-qa-ontonotes/resolve/refs%2Fpr%2F1/scheduler.pt
623 Bytes
- Xet hash:
- c78466c96efc82a8a58f235190ff16a7537ff1a921b44cf0e8b093cd943d4d1c
- Size of remote file:
- 623 Bytes
- SHA256:
- 0d77c8126d02bb53e513456536a6d9fe2fc2c22802eda326ba66f394c84cd92c
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