How to use tiny-random/embeddinggemma-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tiny-random/embeddinggemma-2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("tiny-random/embeddinggemma-2") model = AutoModel.from_pretrained("tiny-random/embeddinggemma-2", device_map="auto")
https://huggingface.co/tiny-random/embeddinggemma-2/resolve/main/1_Pooling/config.json
hf download hf://tiny-random/embeddinggemma-2/1_Pooling/config.json
curl -L -o config.json https://huggingface.co/tiny-random/embeddinggemma-2/resolve/main/1_Pooling/config.json
