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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5f720c4a1bb1a8b3f9dc474a5dc80aaa30a4f068034f6850f0f25d2aad4dd6a
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size 613048004
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