Instructions to use Soran/youtube_CLIP_LoRA_SimCSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Soran/youtube_CLIP_LoRA_SimCSE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Soran/youtube_CLIP_LoRA_SimCSE") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Soran/youtube_CLIP_LoRA_SimCSE") model = AutoModelForZeroShotImageClassification.from_pretrained("Soran/youtube_CLIP_LoRA_SimCSE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e1f182f7c8a9308f869df85d2680f82bf150905cb2fb4d272e895936cb6d0bd
- Size of remote file:
- 613 MB
- SHA256:
- f253d4b3b94df0ef2d6702e8973b4052d5b85496e04fa865f8fe54793fc91dbb
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