Instructions to use splitner/spandetect-seqtag-wnut17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/spandetect-seqtag-wnut17 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/spandetect-seqtag-wnut17") model = AutoModel.from_pretrained("splitner/spandetect-seqtag-wnut17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from splitner/spandetect-seqtag-wnut17: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/splitner/spandetect-seqtag-wnut17/resolve/main/training_args.bin
- Command line
-
hf download hf://splitner/spandetect-seqtag-wnut17/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/spandetect-seqtag-wnut17/resolve/main/training_args.bin
2.1 kB
- Xet hash:
- 5516f460ef76155d0969e9a26001275b6231bb6ae84f4aa2ee5ddfc9b32d0049
- Size of remote file:
- 2.1 kB
- SHA256:
- f7883aa7d9ca604e42edd17a0170d28b5612a246e4fa8714c2cd7f0a7b76b3fa
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