Instructions to use google/gemma-4-12B-it-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-12B-it-assistant with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("google/gemma-4-12B-it-assistant") model = AutoModelForCausalLM.from_pretrained("google/gemma-4-12B-it-assistant", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7eb1414bed581f487373350457b02e80e72d9931e9fcf30a40d618f505d95e75
- Size of remote file:
- 846 MB
- SHA256:
- 3279c173daddd7186e79d652ad94022415736d3a1370625696c898429b06d6df
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