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
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2a02090 | 1 2 3 4 5 6 7 | {
"__version__": {
"sentence_transformers": "2.0.0",
"transformers": "4.9.1",
"pytorch": "1.9.0"
}
} |