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]
https://huggingface.co/buelfhood/CodeBERTa-small-v1-ST/resolve/ee3a4e50cb3fdf5414f0a1617dd8637e83da6f9e/vocab.json
hf download hf://buelfhood/CodeBERTa-small-v1-ST@ee3a4e50cb3fdf5414f0a1617dd8637e83da6f9e/vocab.json
curl -L -o vocab.json https://huggingface.co/buelfhood/CodeBERTa-small-v1-ST/resolve/ee3a4e50cb3fdf5414f0a1617dd8637e83da6f9e/vocab.json
