How to use technotic/embeddinggemma-300M-litertlm with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use technotic/embeddinggemma-300M-litertlm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("technotic/embeddinggemma-300M-litertlm") 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]
