Instructions to use dvdmrs09/gemma-7b-it-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dvdmrs09/gemma-7b-it-python with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "dvdmrs09/gemma-7b-it-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1d12f9422cad3a2cf33a9347efed1b2a17be13f82627bffc4b8322d0bb5e509
- Size of remote file:
- 200 MB
- SHA256:
- 25b9fe36c6655d98214b7521f5d8d9f662fc0c4007a06eeefea535ccfec3dc1e
路
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