Instructions to use JianKim3293/llama3_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JianKim3293/llama3_lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JianKim3293/llama3_lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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Download README.md from JianKim3293/llama3_lora_model: direct link, hf CLI and curl.
- Browser
- Download file 596 Bytes
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https://huggingface.co/JianKim3293/llama3_lora_model/resolve/8a5083248ba495469b9e8cfe02a87cb73ea54c16/README.md
- Command line
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hf download hf://JianKim3293/llama3_lora_model@8a5083248ba495469b9e8cfe02a87cb73ea54c16/README.md
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curl -L -o README.md https://huggingface.co/JianKim3293/llama3_lora_model/resolve/8a5083248ba495469b9e8cfe02a87cb73ea54c16/README.md
596 Bytes
metadata
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
base_model: MLP-KTLim/llama-3-Korean-Bllossom-8B
Uploaded model
- Developed by: JianKim3293
- License: apache-2.0
- Finetuned from model : MLP-KTLim/llama-3-Korean-Bllossom-8B
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
