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:
- 03f0b53dad68f6d72ccfb83009bfc007a7b73e9c6eaa12c10b943368273fa221
- Size of remote file:
- 45.2 MB
- SHA256:
- be9b9f69b835f9d5f18ab553657b06a9a4fc560364153523034b99237e0d5f7d
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