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.model from umarigan/TURKCELL-LLM-7B-DPO: direct link, hf CLI and curl.
- Browser
- Download file 791 kB
-
https://huggingface.co/umarigan/TURKCELL-LLM-7B-DPO/resolve/main/tokenizer.model
- Command line
-
hf download hf://umarigan/TURKCELL-LLM-7B-DPO/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/umarigan/TURKCELL-LLM-7B-DPO/resolve/main/tokenizer.model
791 kB
- Xet hash:
- d0ea8224a007c5275d86006aebb5ac302123354f9e06f08cbd874a6df596c156
- Size of remote file:
- 791 kB
- SHA256:
- 6591059f55cb88d9a23b7a906e52fbee7c870d1016a9d017bc2a5fe027d76d1d
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