Instructions to use yu867/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yu867/test_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yu867/test_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "StableDiffusionPipeline", | |
| "_diffusers_version": "0.16.1", | |
| "feature_extractor": [ | |
| null, | |
| null | |
| ], | |
| "requires_safety_checker": null, | |
| "safety_checker": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "DEISMultistepScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "unet": [ | |
| "diffusers", | |
| "UNet2DConditionModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } |