Instructions to use splitner/single-seqtag-wnut17 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use splitner/single-seqtag-wnut17 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("splitner/single-seqtag-wnut17") model = AutoModel.from_pretrained("splitner/single-seqtag-wnut17", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from splitner/single-seqtag-wnut17: direct link, hf CLI and curl.
- Browser
- Download file 2.1 kB
-
https://huggingface.co/splitner/single-seqtag-wnut17/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://splitner/single-seqtag-wnut17@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/splitner/single-seqtag-wnut17/resolve/refs%2Fpr%2F1/training_args.bin
2.1 kB
- Xet hash:
- 6a631d08a1a270a3bfb48067bb05f3b7a4111e9aeb2c0dbfe166c5c848d7169a
- Size of remote file:
- 2.1 kB
- SHA256:
- 17613af4d910e3382d57312be47d031caadd6415605e0efc5b45d66007bf5939
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