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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18dbcc705c7f507f8d37bb28c5b58325e55304bfe8ff3cd8f6e44f5e90a436d3
- Size of remote file:
- 32.2 MB
- SHA256:
- c001d9ada50af662c94f5ab17ec7e09f6438d1bec8246c47fee6510693d8de35
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