Instructions to use Robzy/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Robzy/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Robzy/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Robzy/lora_model 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 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 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 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Robzy/lora_model", max_seq_length=2048, )
- Xet hash:
- 69e7c0b4c1e6eb746d29868ffedae177284acdf5155316ea919b3e0485cac0fd
- Size of remote file:
- 45.1 MB
- SHA256:
- fd8c0fedc4086540c61cb116e87dfd5b9cd92d81adf1836b66a610af3952b20c
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