Instructions to use Contrastive-Tension/BERT-Large-CT-STSb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Contrastive-Tension/BERT-Large-CT-STSb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Contrastive-Tension/BERT-Large-CT-STSb")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Contrastive-Tension/BERT-Large-CT-STSb") model = AutoModel.from_pretrained("Contrastive-Tension/BERT-Large-CT-STSb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e55d56f45c1f566bfa765c4e6b436b84f119e7c5a077bafcc30aa36d19ebb28c
- Size of remote file:
- 1.34 GB
- SHA256:
- 7ff13d84a9b6cc4d662ed21a0c4bc14aa461316ea034754d256d9632a8e433dd
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