Instructions to use philippelaban/headline_grouping with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philippelaban/headline_grouping with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="philippelaban/headline_grouping")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("philippelaban/headline_grouping") model = AutoModelForSequenceClassification.from_pretrained("philippelaban/headline_grouping") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 886a07af447622d84b9837db6fe17a4bb5398a3d9981910a20dd7455ac6b2ea0
- Size of remote file:
- 438 MB
- SHA256:
- d10e3da6f97dc1870a0fb046c2c22e4f71de8c069b4784410a8431026c19cced
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