Instructions to use entropy/erbb1_mlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entropy/erbb1_mlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="entropy/erbb1_mlp", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("entropy/erbb1_mlp", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Erbb1MlpModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_erbb1_mlp.Erbb1MlpConfig", | |
| "AutoModel": "modeling_erbb1_mlp.Erbb1MlpModel" | |
| }, | |
| "d_hidden": 1024, | |
| "d_in": 768, | |
| "dataset_mean": 6.808096942634537, | |
| "dataset_std": 1.3969347817548063, | |
| "dropout": 0.1, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "erbb1_mlp", | |
| "n_layers": 4, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.3" | |
| } | |