Instructions to use uisikdag/qwen3-14b-turkish-alpaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uisikdag/qwen3-14b-turkish-alpaca with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("uisikdag/qwen3-14b-turkish-alpaca", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use uisikdag/qwen3-14b-turkish-alpaca 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 uisikdag/qwen3-14b-turkish-alpaca 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 uisikdag/qwen3-14b-turkish-alpaca to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for uisikdag/qwen3-14b-turkish-alpaca to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="uisikdag/qwen3-14b-turkish-alpaca", max_seq_length=2048, )
- Xet hash:
- eadf26bdf54a393943cc1411bc2dc42e9c6925539faabc511af8c859f668ade7
- Size of remote file:
- 6.35 kB
- SHA256:
- d13da3b2b2b4f88ce1eed3b884441b8af4bd12add8e18b6ffd45c0cedb0f6779
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