Feature Extraction
Transformers
Safetensors
English
qwen2_vl
image-text-to-text
embedding
multimodal
Instructions to use naver-ai/MuCo-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naver-ai/MuCo-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="naver-ai/MuCo-7B")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("naver-ai/MuCo-7B") model = AutoModelForImageTextToText.from_pretrained("naver-ai/MuCo-7B") - Notebooks
- Google Colab
- Kaggle
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- naver-ai/M3T
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- Qwen/Qwen2-VL-
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pipeline_tag: feature-extraction
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library_name: transformers
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tags:
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datasets:
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- naver-ai/M3T
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base_model:
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- Qwen/Qwen2-VL-7B-Instruct
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pipeline_tag: feature-extraction
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library_name: transformers
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tags:
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