Instructions to use oguz7/printerllama3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oguz7/printerllama3.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "oguz7/printerllama3.1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from oguz7/printerllama3.1: direct link, hf CLI and curl.
- Browser
- Download file 6.33 kB
-
https://huggingface.co/oguz7/printerllama3.1/resolve/main/training_args.bin
- Command line
-
hf download hf://oguz7/printerllama3.1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/oguz7/printerllama3.1/resolve/main/training_args.bin
6.33 kB
- Xet hash:
- 3b4965dbd7a447780573d95a10490146fad534bb45abb56cce4265e0313b3301
- Size of remote file:
- 6.33 kB
- SHA256:
- 0db2b70a46d7c08bf7abf08a28cb7fad4301984ee3ad9e2db1cac9bc9f05cdba
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