Instructions to use odunola/Hack_embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
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] - Notebooks
- Google Colab
- Kaggle
File size: 52 Bytes
eb0d535 | 1 2 3 4 | {
"max_seq_length": 512,
"do_lower_case": true
} |