Text Generation
Safetensors
Turkish
gemma3_text
gemma-3
unsloth
lora
sft
turkish
x-replies
social-media
conversational
Instructions to use berkbirkan/gemma-3-lora-finetune-x-replies with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use berkbirkan/gemma-3-lora-finetune-x-replies with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for berkbirkan/gemma-3-lora-finetune-x-replies to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for berkbirkan/gemma-3-lora-finetune-x-replies to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for berkbirkan/gemma-3-lora-finetune-x-replies to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="berkbirkan/gemma-3-lora-finetune-x-replies", max_seq_length=2048, )
- Xet hash:
- 1e55a45c043f9a2594c5583d6343d978734d432a1f750ba48d1f4434e6116c88
- Size of remote file:
- 2 GB
- SHA256:
- 4460f4131169000e85f6b1ea4d0c7fdbccf5a21675582843f98363b45efe5872
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