Instructions to use TaruniSwathi/Qwen2.5-Coder-1.5B-Java-CSharp-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TaruniSwathi/Qwen2.5-Coder-1.5B-Java-CSharp-LoRA with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TaruniSwathi/Qwen2.5-Coder-1.5B-Java-CSharp-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
metadata
base_model: SattwikAyyagari/Qwen2.5-Coder-1.5B-NL-Java
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
license: apache-2.0
language:
- en
Uploaded model
- Developed by: TaruniSwathi
- License: apache-2.0
- Finetuned from model : SattwikAyyagari/Qwen2.5-Coder-1.5B-NL-Java
This qwen2 model was trained 2x faster with Unsloth
