Text-to-Video
Transformers
PyTorch
Safetensors
clip
zero-shot-image-classification
text
vision
video
Instructions to use Searchium-ai/clip4clip-webvid150k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Searchium-ai/clip4clip-webvid150k with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Searchium-ai/clip4clip-webvid150k") model = AutoModelForZeroShotImageClassification.from_pretrained("Searchium-ai/clip4clip-webvid150k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81bc7e4c9c140680d1a681a07d86fe7b45bb40a434c3b760a78616a7f118ef87
- Size of remote file:
- 605 MB
- SHA256:
- 6bddf905ebc4335b544494100a8f7be077eb7d5be060da6befc96688a1876381
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