Instructions to use EndLessTime/fine_tuned_hswag_callback10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_hswag_callback10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_hswag_callback10")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_hswag_callback10") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_hswag_callback10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69aa08d657fb71229d20541668640f329652dcb33795c00afdc05f431f119b8a
- Size of remote file:
- 5.3 kB
- SHA256:
- ddd477b36f6a15f85232e23debd9be333fe8c8f5542d7dae8e4cbcf55020f831
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