Instructions to use Priyanka112521/finettuned_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Priyanka112521/finettuned_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-1b-it") model = PeftModel.from_pretrained(base_model, "Priyanka112521/finettuned_lora") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Priyanka112521/finettuned_lora: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/Priyanka112521/finettuned_lora/resolve/main/training_args.bin
- Command line
-
hf download hf://Priyanka112521/finettuned_lora/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Priyanka112521/finettuned_lora/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 950033c64468a5e9eadea315d5355a913efce396e6b275cc844092004ea5581f
- Size of remote file:
- 5.78 kB
- SHA256:
- 000e6f670081685c9f2cc55f0f262691dcc0aa1636696c8f0dac5e57091dcc44
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