Instructions to use nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/CodeQwen1.5-7B-Chat") model = PeftModel.from_pretrained(base_model, "nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA: direct link, hf CLI and curl.
- Browser
- Download file 4.46 MB
-
https://huggingface.co/nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA/resolve/main/tokenizer.json
- Command line
-
hf download hf://nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nguyenthanhdo/ViMath-CodeQwen1.5-7B-LORA/resolve/main/tokenizer.json
4.46 MB
File too large to display, you can check the raw version instead.