How to use odunola/Hack_embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("odunola/Hack_embedder") 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/odunola/Hack_embedder/resolve/main/README.md
hf download hf://odunola/Hack_embedder/README.md
curl -L -o README.md https://huggingface.co/odunola/Hack_embedder/resolve/main/README.md
license: apache-2.0 language: - en library_name: sentence-transformers pipeline_tag: sentence-similarity
