Instructions to use codingninja/gemma-32k-pa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codingninja/gemma-32k-pa with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codingninja/gemma-32k-pa", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ed5222ca9b7f01a2131312f5f78a28d03079f5f1af86663f65a90bfc14ea4c9
- Size of remote file:
- 17.5 MB
- SHA256:
- f4935bf76aafbe4ce6ab9a75eae79948a9152aec7cf9251bdbd2c09cfed13780
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