Instructions to use umarigan/TURKCELL-LLM-7B-DPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use umarigan/TURKCELL-LLM-7B-DPO with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("umarigan/TURKCELL-LLM-7B-openhermes") model = PeftModel.from_pretrained(base_model, "umarigan/TURKCELL-LLM-7B-DPO") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from umarigan/TURKCELL-LLM-7B-DPO: direct link, hf CLI and curl.
- Browser
- Download file 2.96 MB
-
https://huggingface.co/umarigan/TURKCELL-LLM-7B-DPO/resolve/main/tokenizer.json
- Command line
-
hf download hf://umarigan/TURKCELL-LLM-7B-DPO/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/umarigan/TURKCELL-LLM-7B-DPO/resolve/main/tokenizer.json
2.96 MB
File too large to display, you can check the raw version instead.