Instructions to use harish/EN-AStitchTask1A-XLNet-FalseTrue-0-FewShot-0-BEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/EN-AStitchTask1A-XLNet-FalseTrue-0-FewShot-0-BEST with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harish/EN-AStitchTask1A-XLNet-FalseTrue-0-FewShot-0-BEST")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harish/EN-AStitchTask1A-XLNet-FalseTrue-0-FewShot-0-BEST") model = AutoModelForSequenceClassification.from_pretrained("harish/EN-AStitchTask1A-XLNet-FalseTrue-0-FewShot-0-BEST") - Notebooks
- Google Colab
- Kaggle
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