Feature Extraction
Transformers
Safetensors
qwen2_5_omni
text-to-audio
multimodal
text
image
video
audio
embedding
retrieval
Instructions to use ATH-MaaS/Ovis-Omni-Embedding-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ATH-MaaS/Ovis-Omni-Embedding-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ATH-MaaS/Ovis-Omni-Embedding-3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("ATH-MaaS/Ovis-Omni-Embedding-3B") model = AutoModelForMultimodalLM.from_pretrained("ATH-MaaS/Ovis-Omni-Embedding-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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