Instructions to use ebowwa/simulationapiv0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ebowwa/simulationapiv0.1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ebowwa/simulationapiv0.1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
|
Download README.md from ebowwa/simulationapiv0.1: direct link, hf CLI and curl.
- Browser
- Download file 783 Bytes
-
https://huggingface.co/ebowwa/simulationapiv0.1/resolve/main/README.md
- Command line
-
hf download hf://ebowwa/simulationapiv0.1/README.md
-
curl -L -o README.md https://huggingface.co/ebowwa/simulationapiv0.1/resolve/main/README.md
783 Bytes
metadata
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
base_model: unsloth/llama-3-8b-bnb-4bit
datasets:
- ebowwa/Informational-simulation
Uploaded model
- Developed by: ebowwa
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
TRAINING
https://www.kaggle.com/code/ebowwa/llama3-8b-simulationv0-1-training
Inference
https://www.kaggle.com/code/ebowwa/simulationapiv0-1-llama-3-inference
