Instructions to use lysandre/test_dynamic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/test_dynamic_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lysandre/test_dynamic_model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lysandre/test_dynamic_model", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| from transformers import BertConfig | |
| class NewModelConfig(BertConfig): | |
| model_type = "new-model" | |
| def __init__(self, *args, new_hidden_size=12, **kwargs): | |
| super().__init__(*args, **kwargs) | |
| self.new_hidden_size = new_hidden_size | |