Instructions to use hf-internal-testing/test_dynamic_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/test_dynamic_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/test_dynamic_model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/test_dynamic_model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 256 Bytes
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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
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