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
Update training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:22310b22d44c2f2cf1acb6a9f2c0a3cbcc5a245abd8f6e42c3b833a0ef17d6fc
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size 1033
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