Instructions to use chefkoch24/justification-cue-tagging with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chefkoch24/justification-cue-tagging with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chefkoch24/justification-cue-tagging")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chefkoch24/justification-cue-tagging") model = AutoModelForTokenClassification.from_pretrained("chefkoch24/justification-cue-tagging", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1532d7f76861520685484ca8341f33b18df2654fb8a4d31de1684e8a7497d380
- Size of remote file:
- 326 MB
- SHA256:
- 4ae1f0e8e1c3eaed173e254344fe68c7461b1d1ab0d797f9b5bfa2f481d358d3
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