Instructions to use elyx/fake-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elyx/fake-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("elyx/fake-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from elyx/fake-model: direct link, hf CLI and curl.
- Browser
- Download file 152 Bytes
-
https://huggingface.co/elyx/fake-model/resolve/main/config.json
- Command line
-
hf download hf://elyx/fake-model/config.json
-
curl -L -o config.json https://huggingface.co/elyx/fake-model/resolve/main/config.json
152 Bytes
| { | |
| "architectures": [ | |
| "FakeModel" | |
| ], | |
| "dim": 512, | |
| "model_type": "fake", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.36.0.dev0" | |
| } | |