Instructions to use textattack/roberta-base-STS-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-STS-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-STS-B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-STS-B") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-STS-B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eae159af74ab36f8c745405b35054d4c4bac706b3e1440b501878db0419c8f2e
- Size of remote file:
- 1.03 kB
- SHA256:
- 22310b22d44c2f2cf1acb6a9f2c0a3cbcc5a245abd8f6e42c3b833a0ef17d6fc
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