Feature Extraction
Transformers
Safetensors
qwen2_5_omni_thinker
image-text-to-text
multimodal-embedding
Instructions to use LCO-Embedding/LCO-Embedding-Omni-3B-2605 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LCO-Embedding/LCO-Embedding-Omni-3B-2605 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LCO-Embedding/LCO-Embedding-Omni-3B-2605")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("LCO-Embedding/LCO-Embedding-Omni-3B-2605") model = AutoModelForImageTextToText.from_pretrained("LCO-Embedding/LCO-Embedding-Omni-3B-2605") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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