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
- Xet hash:
- 184fddd82a246d8af5a8e2395b99f4249932788e5d0f9495677c49a220497e97
- Size of remote file:
- 5.78 kB
- SHA256:
- 7bbdc8ae69de80c6394c99406cc12cff2361b8c365547d5fa91a7d040def8721
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