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
- Xet hash:
- 894fbde323bdead382bdeecf4083b10fa5992e97de26578eb8990ff14f573995
- Size of remote file:
- 17.6 MB
- SHA256:
- abe537dcbbc0a24d9d81979744669d1f8d7adca535f81cb76f68c42b3fe18ace
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