Instructions to use creative-graphic-design/BASNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use creative-graphic-design/BASNet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="creative-graphic-design/BASNet", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("creative-graphic-design/BASNet", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from creative-graphic-design/BASNet: direct link, hf CLI and curl.
- Browser
- Download file 299 Bytes
-
https://huggingface.co/creative-graphic-design/BASNet/resolve/main/config.json
- Command line
-
hf download hf://creative-graphic-design/BASNet/config.json
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curl -L -o config.json https://huggingface.co/creative-graphic-design/BASNet/resolve/main/config.json
299 Bytes
| { | |
| "architectures": [ | |
| "BASNetModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_basnet.BASNetConfig", | |
| "AutoModel": "modeling_basnet.BASNetModel" | |
| }, | |
| "kernel_size": 3, | |
| "model_type": "basnet", | |
| "n_channels": 3, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.42.4" | |
| } | |