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:
# pip install -U transformers accelerate # 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
Download new_data/video_half_dataset.csv from Searchium-ai/clip4clip-webvid150k: direct link, hf CLI and curl.
- Browser
- Download file 1.55 GB
-
https://huggingface.co/Searchium-ai/clip4clip-webvid150k/resolve/main/new_data/video_half_dataset.csv
- Command line
-
hf download hf://Searchium-ai/clip4clip-webvid150k/new_data/video_half_dataset.csv
-
curl -L -o video_half_dataset.csv https://huggingface.co/Searchium-ai/clip4clip-webvid150k/resolve/main/new_data/video_half_dataset.csv
1.55 GB
- Xet hash:
- 8ebaf14f062eb255350d42a8e3eaa71bbcabc66c72389aa814951ee4ab1e0435
- Size of remote file:
- 1.55 GB
- SHA256:
- 143c089f854794f53bf29e88b2414caa6cda5dae64a57476208f0dab698359ea
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