Instructions to use Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct-AWQ") model = PeftModel.from_pretrained(base_model, "Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2/resolve/main/vocab.json
- Command line
-
hf download hf://Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2/vocab.json
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curl -L -o vocab.json https://huggingface.co/Vinitha2004/qwen-coder-1.5B-Instruct-AWQ-t2/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.