Instructions to use 1-lock/f5a0986b-0503-4311-a331-5782463eaf84 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/f5a0986b-0503-4311-a331-5782463eaf84 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b") model = PeftModel.from_pretrained(base_model, "1-lock/f5a0986b-0503-4311-a331-5782463eaf84") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from 1-lock/f5a0986b-0503-4311-a331-5782463eaf84: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/1-lock/f5a0986b-0503-4311-a331-5782463eaf84/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://1-lock/f5a0986b-0503-4311-a331-5782463eaf84/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1-lock/f5a0986b-0503-4311-a331-5782463eaf84/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 38126f875a1f1dc0ad03bdf3ec92a74600f34e1cbb874164993b8486b1649fd3
- Size of remote file:
- 6.84 kB
- SHA256:
- 8164a54c84d1ca2d9535aa89feac491e88dc8455ac55265963aa0a4d8c2a09da
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