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:
- b7b56f7282224dd8a4079259abfe779738b9a8b4efb5fb2466a8893de02a2e0b
- Size of remote file:
- 1.34 GB
- SHA256:
- 561ae6fd2b4f9169da21120d2ef53ff668ac6d9dbb1f9b061d7e2b2ade821dbd
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