Instructions to use myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.2") model = PeftModel.from_pretrained(base_model, "myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851/resolve/be94d09cd85a13d7d37b8e5d38b08eada545258b/training_args.bin
- Command line
-
hf download hf://myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851@be94d09cd85a13d7d37b8e5d38b08eada545258b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/myhaaaaaaa/44b10cb1-bdde-4b40-a711-2940c9c2b851/resolve/be94d09cd85a13d7d37b8e5d38b08eada545258b/training_args.bin
6.78 kB
- Xet hash:
- 59d5f5e62aba7c3bba1f6c4e77aac3650595adb3834cb41115e7e9a881bd7284
- Size of remote file:
- 6.78 kB
- SHA256:
- 4d9e225239c6a9df5ba4716d769374673b7a730872d5a6a5fa44c9a009eb214e
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