Instructions to use ashik0001/test_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashik0001/test_training with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-11B-Vision-Instruct") model = PeftModel.from_pretrained(base_model, "ashik0001/test_training") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ashik0001/test_training: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/ashik0001/test_training/resolve/main/training_args.bin
- Command line
-
hf download hf://ashik0001/test_training/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ashik0001/test_training/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 09c5d623d56f8d1b99eeb777fa6d1c6e8c25559e2dd0a20a53bc295892985eef
- Size of remote file:
- 5.5 kB
- SHA256:
- c7812707f0de4e09990f42d629a2ddc63bcac25082cf6ea38c001a223827920d
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