Feature Extraction
Transformers
Safetensors
English
clip
zero-shot-image-classification
CLIP
SigLIP
contrastive-learning
dual-encoder
vision-language
image-text-retrieval
huggingface
Instructions to use Amirhossein75/Image-Contrastive-CLIP-Flickr30k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/Image-Contrastive-CLIP-Flickr30k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Amirhossein75/Image-Contrastive-CLIP-Flickr30k")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Amirhossein75/Image-Contrastive-CLIP-Flickr30k") model = AutoModelForZeroShotImageClassification.from_pretrained("Amirhossein75/Image-Contrastive-CLIP-Flickr30k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f2b1c703be8ff8866f3697454f56ab30e88d1132eac51a3b7311b84f3ae3475
- Size of remote file:
- 5.78 kB
- SHA256:
- 45abec6494f204dff66b92d778248457a12294a0e6277c8061e281377b1bba45
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