Sentence Similarity
sentence-transformers
PyTorch
TensorFlow
Rust
ONNX
Safetensors
OpenVINO
gemma3_text
feature-extraction
text-embeddings-inference
Instructions to use RedHatAI/embeddinggemma-300m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use RedHatAI/embeddinggemma-300m with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RedHatAI/embeddinggemma-300m") 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
Download generation_config.json from RedHatAI/embeddinggemma-300m: direct link, hf CLI and curl.
- Browser
- Download file 133 Bytes
-
https://huggingface.co/RedHatAI/embeddinggemma-300m/resolve/main/generation_config.json
- Command line
-
hf download hf://RedHatAI/embeddinggemma-300m/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/RedHatAI/embeddinggemma-300m/resolve/main/generation_config.json
133 Bytes
| { | |
| "cache_implementation": "hybrid", | |
| "do_sample": true, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "4.57.0.dev0" | |
| } | |