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:
- e46c52cb6a4538b33dd451a7df3c0fb809c2952cbbb8a82f98e1513d59fa0ef3
- Size of remote file:
- 501 MB
- SHA256:
- 4cd5c88bdc6d0e539e3a03fae3c2c1984218f6921077f08a5192c40da9cc9bba
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