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, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7887e2d99cf50434258edd22027c08a08757c961c8ff21ab39a14161bbd1c61c
- Size of remote file:
- 17.6 MB
- SHA256:
- 8ae42e41e3c5525db364807b80c378dc3603363a10088a1cbf3733da676ccd05
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