Instructions to use trl-internal-testing/tiny-Gemma3ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-Gemma3ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trl-internal-testing/tiny-Gemma3ForConditionalGeneration", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9f7488df300e1b66a2198f0333d5ab5df55bd2ba958f2f23b2fd8ba0d4b8545
- Size of remote file:
- 8.64 MB
- SHA256:
- 866c91b1e2d7f40146f4a679ff31dc7cf900afdf2fc8a880c94bbf68392fb952
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