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
Add exported openvino model 'openvino_model.xml'
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by buelfhood - opened
openvino/openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7b36f0e4279b3156f94a6753e9226f0d7c0bda98fdfc330669ccfcd7b6777af
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size 331445424
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openvino/openvino_model.xml
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