Instructions to use go76dof/firstTestModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use go76dof/firstTestModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="go76dof/firstTestModel", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("go76dof/firstTestModel", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SimpleMLPForClassification" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "simple_mlp_configuration.SimpleMLPConfig", | |
| "AutoModelForSequenceClassification": "modeling_simple_mlp.SimpleMLPForClassification" | |
| }, | |
| "dropout_rate": 0.1, | |
| "dtype": "float32", | |
| "hidden_dim": 64, | |
| "input_dim": 128, | |
| "model_type": "simple_mlp", | |
| "num_classes": 3, | |
| "transformers_version": "5.7.0" | |
| } | |