Instructions to use thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7 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, "thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7/resolve/main/training_args.bin
- Command line
-
hf download hf://thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thalllsssss/26d1fbc2-6d10-4102-b31a-8fb0f62d71c7/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 6080eb921e764a2a355ba81311d5790d47d752b0e5cb28511e4302f03bf29f85
- Size of remote file:
- 6.78 kB
- SHA256:
- 4fd42f7696226f9d67bf2b57e88bfc34b806ed16dcb27e434af0be7bf88f3dde
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