Instructions to use sgugger/pair-classification-tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/pair-classification-tool with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sgugger/pair-classification-tool")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/pair-classification-tool") model = AutoModelForSequenceClassification.from_pretrained("sgugger/pair-classification-tool") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a86758553b1171d746120a93c8e2f24c6c44f6961b2ff2fdf8df533c17b8237
- Size of remote file:
- 433 MB
- SHA256:
- 3d51a9228c2bfe086be5020b9627e5693324d9f65e7e99bfdb5a1952d213cafa
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