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:
- 44b0bfbf1476961f2da391cb9e06e234c62ab5ce2e52048bd3aaa1d38a81b106
- Size of remote file:
- 6.71 kB
- SHA256:
- 2de50dc33e54624518a74408c92d100b103eb38bfcd873e1e6a7fd51752861e3
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