Instructions to use Robzy/lora_model_CodeData with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robzy/lora_model_CodeData with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Robzy/lora_model_CodeData", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Robzy/lora_model_CodeData 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 Robzy/lora_model_CodeData 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 Robzy/lora_model_CodeData to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Robzy/lora_model_CodeData to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Robzy/lora_model_CodeData", max_seq_length=2048, )
- Xet hash:
- 017c1293c51ec62f30f1a49b6b733cfdc940d280fbf55e95c1f4e4c362032f50
- Size of remote file:
- 45.1 MB
- SHA256:
- 68327e6ba8608dac34ed3fcd63fd52b21c29e3a20ca6a35cf3074e9b4ad5b78f
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