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- model_index.json +6 -0
model_index.json
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{
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"auto_map": {
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"AutoModel": "modeling_gend.GenD",
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"AutoConfig": "modeling_gend.GenDConfig"
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}
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}
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