Instructions to use ligolab/DxRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ligolab/DxRoberta with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ligolab/DxRoberta") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
add model
Browse files- merges.txt +0 -0
- tokenizer.json +0 -0
- vocab.json +0 -0
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tokenizer.json
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vocab.json
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