Feature Extraction
Transformers
PyTorch
English
contrastive_bert
contrastive-learning
medical-text
clinical-text
sentence-similarity
triplet-loss
bert
custom_code
Instructions to use nikhil061307/contrastive-learning-bert-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikhil061307/contrastive-learning-bert-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nikhil061307/contrastive-learning-bert-v3", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nikhil061307/contrastive-learning-bert-v3", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K