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-Flickr8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/Image-Contrastive-CLIP-Flickr8k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Amirhossein75/Image-Contrastive-CLIP-Flickr8k")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Amirhossein75/Image-Contrastive-CLIP-Flickr8k") model = AutoModelForZeroShotImageClassification.from_pretrained("Amirhossein75/Image-Contrastive-CLIP-Flickr8k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 588 Bytes
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