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:
- c7dec3c1e45ec9c1f64827396df0b2e1b3738cef2ce469dee05fd57161a04891
- Size of remote file:
- 3.25 kB
- SHA256:
- 041b1c09ae205b1ebaf930f4ca16b9d8586c65767d650a1d84c1c5fabcdf81ff
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