Instructions to use mehmetdavut/ruby3.4-qwen2.5-coder-7b-5k-all-8bit-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-7b-5k-all-8bit-gemini with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "mehmetdavut/ruby3.4-qwen2.5-coder-7b-5k-all-8bit-gemini") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from mehmetdavut/ruby3.4-qwen2.5-coder-7b-5k-all-8bit-gemini: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
-
https://huggingface.co/mehmetdavut/ruby3.4-qwen2.5-coder-7b-5k-all-8bit-gemini/resolve/main/vocab.json
- Command line
-
hf download hf://mehmetdavut/ruby3.4-qwen2.5-coder-7b-5k-all-8bit-gemini/vocab.json
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curl -L -o vocab.json https://huggingface.co/mehmetdavut/ruby3.4-qwen2.5-coder-7b-5k-all-8bit-gemini/resolve/main/vocab.json
2.78 MB
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