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 training_args.bin from splitner/single-seqtag-ontonotes: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/splitner/single-seqtag-ontonotes/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/single-seqtag-ontonotes/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/single-seqtag-ontonotes/resolve/main/training_args.bin
2.03 kB
- Xet hash:
- 9f08eef04489100a3ab6745843ec02c711ed635e4a74d29457691d53406a74eb
- Size of remote file:
- 2.03 kB
- SHA256:
- 7b4ff23a4e25b6976cd2382460a4836907b5adb65f0b92a45ccd6f59b4ae52fa
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