Instructions to use kunjcr2/gemma-2-9b-proof-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kunjcr2/gemma-2-9b-proof-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "kunjcr2/gemma-2-9b-proof-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc2ecf3386e4445b42678a946cb2f0d094a8f0d9c480921d09166d077bf1a199
- Size of remote file:
- 34.4 MB
- SHA256:
- a6ce555ceacbb0b679a73e430e96c70122e43e8e56fb28eb477d3c06e604fbb6
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