Instructions to use ydshieh/pt_custom_model_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/pt_custom_model_example with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ydshieh/pt_custom_model_example", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from torch import nn | |
| from transformers.modeling_utils import PreTrainedModel | |
| from .configuration_my_model import MyModelConfig | |
| class MyModelPretrainedModel(PreTrainedModel): | |
| config_class = MyModelConfig | |
| class MyModel(MyModelPretrainedModel): | |
| def __init__(self, config: MyModelConfig): | |
| super().__init__(config) | |
| self.config = config | |
| self.n_layers = config.n_layers | |
| self.hidden_dim = config.hidden_dim | |
| self.linear = nn.Linear(config.hidden_dim, config.hidden_dim) | |