Zero-Shot Image Classification
Transformers
Safetensors
English
clip
vision-language
compositional-reasoning
contrastive-learning
text-encoder
sugarcrepe
whatsup
crepe
valse
Instructions to use Mayfull/READ-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mayfull/READ-CLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Mayfull/READ-CLIP") 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, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Mayfull/READ-CLIP") model = AutoModelForZeroShotImageClassification.from_pretrained("Mayfull/READ-CLIP", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add overview figure and project page link to card
Browse files
README.md
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- 📄 **Paper:** [arXiv:2510.16540](https://arxiv.org/abs/2510.16540) (NeurIPS 2025)
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- 💻 **Code:** [github.com/JiH00nKw0n/READ-CLIP](https://github.com/JiH00nKw0n/READ-CLIP)
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- 🧩 **Base model:** [`openai/clip-vit-base-patch32`](https://huggingface.co/openai/clip-vit-base-patch32)
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## Method
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- 📄 **Paper:** [arXiv:2510.16540](https://arxiv.org/abs/2510.16540) (NeurIPS 2025)
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- 💻 **Code:** [github.com/JiH00nKw0n/READ-CLIP](https://github.com/JiH00nKw0n/READ-CLIP)
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- 🧩 **Base model:** [`openai/clip-vit-base-patch32`](https://huggingface.co/openai/clip-vit-base-patch32)
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- 🌐 **Project page:** [jih00nkw0n.github.io/READ-CLIP](https://jih00nkw0n.github.io/READ-CLIP/)
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## Method
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