Instructions to use splitner/single-seqtag-ontonotes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-seqtag-ontonotes with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-seqtag-ontonotes") model = AutoModel.from_pretrained("splitner/single-seqtag-ontonotes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from splitner/single-seqtag-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 623 Bytes
-
https://huggingface.co/splitner/single-seqtag-ontonotes/resolve/main/scheduler.pt
- Command line
-
hf download hf://splitner/single-seqtag-ontonotes/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/splitner/single-seqtag-ontonotes/resolve/main/scheduler.pt
623 Bytes
- Xet hash:
- b53c7a2799a9383af5260ef49ea4329b50b048ed79da8559d8c8f474411fd107
- Size of remote file:
- 623 Bytes
- SHA256:
- eb364c8af7a290d5862328adf3cfb3dea773d6d84bf78b4dadd9222271cf8d51
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