Instructions to use EndLessTime/fine_tuned_xsum_callback10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_xsum_callback10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_xsum_callback10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_xsum_callback10") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_xsum_callback10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8a0cce05207bd25b7c99240ada9a4afe0956435d08dcb95495638e0d3c101f5
- Size of remote file:
- 5.3 kB
- SHA256:
- cdd6fd08cbc7ae240b18078982de2247fbdfab7401d89d659d887d191634a390
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