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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Update 1_Pooling/config.json
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Add exported openvino model 'openvino_model.xml' (#2)
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Add exported onnx model 'model.onnx' (#1)
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Add new SentenceTransformer model
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initial commit
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