Instructions to use dzanbek/8491430e-93cb-4de9-af24-ad7926e763da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dzanbek/8491430e-93cb-4de9-af24-ad7926e763da with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct") model = PeftModel.from_pretrained(base_model, "dzanbek/8491430e-93cb-4de9-af24-ad7926e763da") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dzanbek/8491430e-93cb-4de9-af24-ad7926e763da: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/dzanbek/8491430e-93cb-4de9-af24-ad7926e763da/resolve/f76ed37ba301a5be46ef5bdfc1421e06805f64a8/training_args.bin
- Command line
-
hf download hf://dzanbek/8491430e-93cb-4de9-af24-ad7926e763da@f76ed37ba301a5be46ef5bdfc1421e06805f64a8/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/dzanbek/8491430e-93cb-4de9-af24-ad7926e763da/resolve/f76ed37ba301a5be46ef5bdfc1421e06805f64a8/training_args.bin
6.78 kB
- Xet hash:
- 35dd54a2e208936784bd9ae3fc5f4967f500f8a05e615d431251ec531930f00a
- Size of remote file:
- 6.78 kB
- SHA256:
- 655388bdec6485022b7f3e65eb6f4e83de064a69672637f51b623822a127fe6f
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