Feature Extraction
Transformers
Safetensors
sentence-transformers
multilingual
embedding_gemma2
embedding
multimodal-embedding
multimodal
vision
audio
video
image-feature-extraction
audio-feature-extraction
video-feature-extraction
sentence-similarity
Instructions to use luluw/embeddinggemmatext-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luluw/embeddinggemmatext-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="luluw/embeddinggemmatext-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("luluw/embeddinggemmatext-2") model = AutoModel.from_pretrained("luluw/embeddinggemmatext-2", device_map="auto") - sentence-transformers
How to use luluw/embeddinggemmatext-2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("luluw/embeddinggemmatext-2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from luluw/embeddinggemmatext-2: direct link, hf CLI and curl.
- Browser
- Download file 32.2 MB
-
https://huggingface.co/luluw/embeddinggemmatext-2/resolve/main/tokenizer.json
- Command line
-
hf download hf://luluw/embeddinggemmatext-2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/luluw/embeddinggemmatext-2/resolve/main/tokenizer.json
32.2 MB
- Xet hash:
- f930764fc0f0aa3d4b80e89e7a3de3182368742370dd962d1794a95085aded95
- Size of remote file:
- 32.2 MB
- SHA256:
- dba1bf6b56fe71d2cc69a771a037fa6a7dac2e41f33ed3e1b3254b90fa17c3a5
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