Instructions to use yermandy/GenD_CLIP_L_14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yermandy/GenD_CLIP_L_14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yermandy/GenD_CLIP_L_14") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import GenD model = GenD.from_pretrained("yermandy/GenD_CLIP_L_14", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +10 -0
- model.safetensors +3 -0
config.json
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{
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"architectures": [
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"GenD"
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],
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"backbone": "openai/clip-vit-large-patch14",
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"dtype": "float32",
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"head": "LinearNorm",
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"model_type": "GenD",
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"transformers_version": "4.56.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d76f0bdfd74a29fe1b1c1b84a80ac92486993e426878e8c7a3944281fbb96833
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size 1215928160
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