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:
- 3a606d89f0543b8c173fe1b609b6b29f99de85a7d1069db0fadfe83fbb51f8ae
- Size of remote file:
- 997 MB
- SHA256:
- 50a8a493a7d39eb568f9b195a446a70c364e5af1a95ae6b1f642d6ff28808524
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