Instructions to use 1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-7B") model = PeftModel.from_pretrained(base_model, "1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from 1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf/resolve/main/training_args.bin
- Command line
-
hf download hf://1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/1-lock/380e71f9-9872-4cbe-8371-f48cc6f52acf/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 6f32a247e0345e5306f7491b19a1eb09ab92bc812c07afee923586c0cd210786
- Size of remote file:
- 6.84 kB
- SHA256:
- e355099d988f19b702b7531985525e2173123a11e78ce5ce0fc00360b22527f2
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