Instructions to use VRai98/outputs_test_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VRai98/outputs_test_new with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "VRai98/outputs_test_new") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from VRai98/outputs_test_new: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/VRai98/outputs_test_new/resolve/main/training_args.bin
- Command line
-
hf download hf://VRai98/outputs_test_new/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VRai98/outputs_test_new/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 624dfd1e39adab8d1ff8b0b0bcfd74663fce426cd6ec841001c72071328881f0
- Size of remote file:
- 5.5 kB
- SHA256:
- ca6a764c034fe2a08749c7b525080447a57b06d6db72a3bef319c21cdc12a7e7
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