Zero-Shot Image Classification
Transformers
Safetensors
English
qwen2_5_vl
mmeb
text-generation-inference
Instructions to use moca-embed/MoCa-Qwen25VL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moca-embed/MoCa-Qwen25VL-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="moca-embed/MoCa-Qwen25VL-7B") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, Qwen2_5ForEmbedding processor = AutoProcessor.from_pretrained("moca-embed/MoCa-Qwen25VL-7B") model = Qwen2_5ForEmbedding.from_pretrained("moca-embed/MoCa-Qwen25VL-7B") - Notebooks
- Google Colab
- Kaggle
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