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:
- 9e740ff6145dd6dd9707003701e2c95fcd6eff7823bd124b89ae23b7ce00289a
- Size of remote file:
- 3.06 kB
- SHA256:
- 97367c6cd3e15f25c0f4cd81a95b79ed29b32469d7c3c3f416ee6cfd5ef048f0
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