Instructions to use dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2/resolve/2dfaaf9f93eef05b34562a089a8a51f48065ea2b/training_args.bin
- Command line
-
hf download hf://dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2@2dfaaf9f93eef05b34562a089a8a51f48065ea2b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dada22231/1742bdb8-56c6-43bf-8dd5-c10e8689c3f2/resolve/2dfaaf9f93eef05b34562a089a8a51f48065ea2b/training_args.bin
6.84 kB
- Xet hash:
- de72756a94a1d03d9d4ca6eab7ecc26fda7dffe011192d0f585ae0fef190cc1b
- Size of remote file:
- 6.84 kB
- SHA256:
- 414c2421e573fc1d7abaaf8d6b8c1a281c9cb120297a737e52041d43623acff0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.