Instructions to use Paladiso/924819d4-1505-4d42-89e1-3649945bc032 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Paladiso/924819d4-1505-4d42-89e1-3649945bc032 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "Paladiso/924819d4-1505-4d42-89e1-3649945bc032") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from Paladiso/924819d4-1505-4d42-89e1-3649945bc032: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/Paladiso/924819d4-1505-4d42-89e1-3649945bc032/resolve/35c7cf99aba69dfd1d04d25abef46f86b0daee14/last-checkpoint/training_args.bin
- Command line
-
hf download hf://Paladiso/924819d4-1505-4d42-89e1-3649945bc032@35c7cf99aba69dfd1d04d25abef46f86b0daee14/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Paladiso/924819d4-1505-4d42-89e1-3649945bc032/resolve/35c7cf99aba69dfd1d04d25abef46f86b0daee14/last-checkpoint/training_args.bin
6.78 kB
- Xet hash:
- 43efde799b55f42133c52d56df133f92a748394a42d956464c2300ede0e6d5fe
- Size of remote file:
- 6.78 kB
- SHA256:
- 1a7eaa48595a5c747fdfe15398dfa66e0e85b731ced06a82370747171d322f74
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