Sentence Similarity
sentence-transformers
ONNX
Safetensors
OpenVINO
roberta
feature-extraction
text-embeddings-inference
Instructions to use buelfhood/CodeBERTa-small-v1-ST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use buelfhood/CodeBERTa-small-v1-ST with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("buelfhood/CodeBERTa-small-v1-ST") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Commit History
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Add exported openvino model 'openvino_model.xml'
Verified signatureHello! *This pull request has been automatically generated from the [Sentence Transformers backend-export](https://huggingface.co/spaces/sentence-transformers/backend-export) Space.* ## Pull Request overview * Add exported OpenVINO model `openvino_model.xml`. ## Tip: Consider testing this pull request before merging by loading the model from this PR with the `revision` argument: ```python from sentence_transformers import SentenceTransformer # TODO: Fill in the PR number pr_number = 2 model = SentenceTransformer( "buelfhood/CodeBERTa-small-v1", revision=f"refs/pr/{pr_number}", backend="openvino", ) # Verify that everything works as expected embeddings = model.encode(["The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium."]) print(embeddings.shape) similarities = model.similarity(embeddings, embeddings) print(similarities) ```27c4a18 -
Add new SentenceTransformer model
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initial commit
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