Instructions to use ModelTC/roberta-base-stsb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/roberta-base-stsb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ModelTC/roberta-base-stsb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ModelTC/roberta-base-stsb") model = AutoModelForSequenceClassification.from_pretrained("ModelTC/roberta-base-stsb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 644b57c0f950b797e83cb11b6c99aef1c237b40299d4d22ac29cd205205994aa
- Size of remote file:
- 623 Bytes
- SHA256:
- d03ed95b8fbea10e20c6fbe6b4d37782180f1f48fec05fcebf936fd45bf5a1a6
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