Instructions to use EndLessTime/fine_tuned_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_xsum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_xsum")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_xsum") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_xsum") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c2077129050202f34c49fee0dc94b026e6db283a321e7243ebbe3e3d43f378d
- Size of remote file:
- 5.24 kB
- SHA256:
- aed412cdbe94c4916f5ce6de79633b06838bc80ebeed2d803c3b3322f49fa2a7
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