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
| { | |
| "architectures": [ | |
| "GenD" | |
| ], | |
| "backbone": "openai/clip-vit-large-patch14", | |
| "dtype": "float32", | |
| "head": "LinearNorm", | |
| "model_type": "GenD", | |
| "transformers_version": "4.56.2" | |
| } | |