Instructions to use mehmetdavut/ruby3.4-qwen2.5-coder-1.5b-1k-hq-16bit-gemini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mehmetdavut/ruby3.4-qwen2.5-coder-1.5b-1k-hq-16bit-gemini 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, "mehmetdavut/ruby3.4-qwen2.5-coder-1.5b-1k-hq-16bit-gemini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2cbf7fe77b6e4524edda31d52106dcc5c5eddeb50eb020fba2836cfddd91d1f
- Size of remote file:
- 5.5 kB
- SHA256:
- 84471fa3dd272cbbabc84332b61c0a24a57f233c70b8ced2ffec0eb0c14dc917
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