Instructions to use tripathiarpan20/tuning-ab3318ee-d929-45d5-97e1-ccfee77df372 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tripathiarpan20/tuning-ab3318ee-d929-45d5-97e1-ccfee77df372 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "tripathiarpan20/tuning-ab3318ee-d929-45d5-97e1-ccfee77df372") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4605b0cef074e9b3508bb3f80aeb1fd2513f38064541bad00a938188e329c321
- Size of remote file:
- 14.2 kB
- SHA256:
- 32fae2f082bc2b8a4f93f074fb88d1c6113a4081d21b0babdad2ac6534f83080
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