Instructions to use Oronto/Shared_Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Oronto/Shared_Code with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import neural_net model = neural_net.from_pretrained("Oronto/Shared_Code", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Oronto/Shared_Code: direct link, hf CLI and curl.
- Browser
- Download file 229 Bytes
-
https://huggingface.co/Oronto/Shared_Code/resolve/main/config.json
- Command line
-
hf download hf://Oronto/Shared_Code/config.json
-
curl -L -o config.json https://huggingface.co/Oronto/Shared_Code/resolve/main/config.json
229 Bytes
| { | |
| "architectures": [ | |
| "neural_net" | |
| ], | |
| "dropout_rate": 0.2, | |
| "hidden_num": 3, | |
| "hidden_size": 8192, | |
| "input_size": 1784, | |
| "output_size": 2, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.39.2" | |
| } | |