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
File size: 229 Bytes
e1f5b17 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"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"
}
|