Instructions to use hongngo/a8af1213-dae5-478c-8681-be9a247b399b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hongngo/a8af1213-dae5-478c-8681-be9a247b399b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("The-matt/llama2_ko-7b_distinctive-snowflake-182_1060") model = PeftModel.from_pretrained(base_model, "hongngo/a8af1213-dae5-478c-8681-be9a247b399b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hongngo/a8af1213-dae5-478c-8681-be9a247b399b: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/hongngo/a8af1213-dae5-478c-8681-be9a247b399b/resolve/main/training_args.bin
- Command line
-
hf download hf://hongngo/a8af1213-dae5-478c-8681-be9a247b399b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hongngo/a8af1213-dae5-478c-8681-be9a247b399b/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 53006c1a890990df8c2324d94cf5f27d7b6a4079250c52328cac442f726137f2
- Size of remote file:
- 6.78 kB
- SHA256:
- 94eac77a3931f72d0490310e391122bc14b5b3a3264a9d0a8f4d6fdc4069c02e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.