Instructions to use klcsp/gemma7b-lora-coding-11-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use klcsp/gemma7b-lora-coding-11-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b") model = PeftModel.from_pretrained(base_model, "klcsp/gemma7b-lora-coding-11-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8690ae47119f0c9561bb04ad6182a3f6cc1e063c32817d9bd62985e67129f3d
- Size of remote file:
- 5.82 kB
- SHA256:
- a9cc122ac08b0704186878b0a4efb82921c72f873d4d4e1cecc890e10fceca30
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