Instructions to use cambridgeltl/trans-encoder-bi-simcse-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cambridgeltl/trans-encoder-bi-simcse-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cambridgeltl/trans-encoder-bi-simcse-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("cambridgeltl/trans-encoder-bi-simcse-roberta-base") model = AutoModelForMultimodalLM.from_pretrained("cambridgeltl/trans-encoder-bi-simcse-roberta-base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "__version__": { | |
| "sentence_transformers": "2.0.0", | |
| "transformers": "4.9.1", | |
| "pytorch": "1.9.0" | |
| } | |
| } |