Instructions to use IINOVAII/lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IINOVAII/lora_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IINOVAII/lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use IINOVAII/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 IINOVAII/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 IINOVAII/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 IINOVAII/lora_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="IINOVAII/lora_model", max_seq_length=2048, )
- Xet hash:
- f3199b20ab208437dc1cc6e30f44a9aad76a28de5a1f9772955d40dd395f57f5
- Size of remote file:
- 168 MB
- SHA256:
- 4f32f63a6b3c6adc6db82f62bf16c7b2a2b7e5393b9dcf1a0bd7815e5fc15396
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