Instructions to use EndLessTime/fine_tuned_xsum_balanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_xsum_balanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_xsum_balanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_xsum_balanced") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_xsum_balanced") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b20e81c924e5d3e65adeff3aca02b449ce2245ee6611c60321da00aa3a78310
- Size of remote file:
- 5.3 kB
- SHA256:
- b1f0e8fd9cdb4aeb90fbd5440d81ab95b1d2b88719e35dee308031e19402957a
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