Instructions to use BonySmoke/gec_uk_seq2tag with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BonySmoke/gec_uk_seq2tag with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="BonySmoke/gec_uk_seq2tag")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("BonySmoke/gec_uk_seq2tag") model = AutoModelForTokenClassification.from_pretrained("BonySmoke/gec_uk_seq2tag", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from BonySmoke/gec_uk_seq2tag: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/BonySmoke/gec_uk_seq2tag/resolve/main/training_args.bin
- Command line
-
hf download hf://BonySmoke/gec_uk_seq2tag/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/BonySmoke/gec_uk_seq2tag/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 0886e7ea88c171f484651a5ed2732666f72ff926899163b24a0097f8b41e78d9
- Size of remote file:
- 4.92 kB
- SHA256:
- baa8e5e04a10744040bcbcfcf6816a36e6bd8b13dfc07bc8495b4d2b075471f1
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