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 google/embeddinggemma-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/embeddinggemma-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="google/embeddinggemma-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("google/embeddinggemma-2") model = AutoModel.from_pretrained("google/embeddinggemma-2", device_map="auto") - sentence-transformers
How to use google/embeddinggemma-2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("google/embeddinggemma-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
Update processor_config.json
#16
by maletsidibeOS - opened
- processor_config.json +2 -2
processor_config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"audio_ms_per_token":
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"audio_seq_length": 280,
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"feature_extractor": {
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"dither": 0.0,
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@@ -20,7 +20,7 @@
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"preemphasis": 0.0,
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"preemphasis_htk_flavor": true,
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"return_attention_mask": true,
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-
"sampling_rate":
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},
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"image_processor": {
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"do_convert_rgb": true,
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{
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+
"audio_ms_per_token": 45,
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"audio_seq_length": 280,
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"feature_extractor": {
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"dither": 0.0,
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"preemphasis": 0.0,
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"preemphasis_htk_flavor": true,
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"return_attention_mask": true,
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+
"sampling_rate": 17000
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},
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"image_processor": {
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"do_convert_rgb": true,
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