Instructions to use hf-internal-testing/dummy-gemma-for-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/dummy-gemma-for-diffusers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/dummy-gemma-for-diffusers")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/dummy-gemma-for-diffusers") model = AutoModel.from_pretrained("hf-internal-testing/dummy-gemma-for-diffusers") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64486979553e6d834fffc627da8eb6a012bf49b60c8c6ffb115e287e5f47d54a
- Size of remote file:
- 11.9 kB
- SHA256:
- 89072fb15c6c3870900027ba242a7cef686f62183693d1f701b4e2286c88e405
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