Instructions to use 1rsh/gemma-2b-it-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1rsh/gemma-2b-it-fr with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "1rsh/gemma-2b-it-fr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40e57b6e161bad6dba99afbc236bc7e7604baedd31fd8a0b8ec83ae5e42fb9ed
- Size of remote file:
- 4.86 kB
- SHA256:
- c9066357408e9f26525cafe1e15e3ee7643cba2274e7109b81c27cfdb59a6778
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