Text Generation
PEFT
Safetensors
lora
qwen2
code
machine-learning-engineering
research
conversational
Instructions to use Hak5/qwen2.5-coder-1.5b-ml-engineer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Hak5/qwen2.5-coder-1.5b-ml-engineer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "Hak5/qwen2.5-coder-1.5b-ml-engineer") - Notebooks
- Google Colab
- Kaggle
Download chart_dose_response.png from Hak5/qwen2.5-coder-1.5b-ml-engineer: direct link, hf CLI and curl.
- Browser
- Download file 118 kB
-
https://huggingface.co/Hak5/qwen2.5-coder-1.5b-ml-engineer/resolve/main/chart_dose_response.png
- Command line
-
hf download hf://Hak5/qwen2.5-coder-1.5b-ml-engineer/chart_dose_response.png
-
curl -L -o chart_dose_response.png https://huggingface.co/Hak5/qwen2.5-coder-1.5b-ml-engineer/resolve/main/chart_dose_response.png
118 kB

- Xet hash:
- d21c03385622bc7df758a6a31674ff4e7b759a32cd58b6e243b4409e4a804e68
- Size of remote file:
- 118 kB
- SHA256:
- f1eddb7c26064d4ae579d1cbe89c02f8cd172e285e6fa6716d687cfded6e9a1b
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