Instructions to use steffygreypaul/LoRA_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use steffygreypaul/LoRA_finetuned_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "steffygreypaul/LoRA_finetuned_model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from steffygreypaul/LoRA_finetuned_model: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/steffygreypaul/LoRA_finetuned_model/resolve/main/training_args.bin
- Command line
-
hf download hf://steffygreypaul/LoRA_finetuned_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/steffygreypaul/LoRA_finetuned_model/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 8f9049cac0595566aabb7bc92f5b3c0d051463ad9efcba8263b5dc7ac15bf1a2
- Size of remote file:
- 5.5 kB
- SHA256:
- 79e39726f56a3c0cae78829f6c0d8e1286fed65fda3e4e1c1f320d6acd5574a1
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