Instructions to use yloa/lora_model_21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yloa/lora_model_21 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yloa/lora_model_21", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use yloa/lora_model_21 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 yloa/lora_model_21 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 yloa/lora_model_21 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for yloa/lora_model_21 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="yloa/lora_model_21", max_seq_length=2048, )
- Xet hash:
- eaeeda62b6d47f16e85a37234c6288f006976871a462177cc7b44aa6a54228f5
- Size of remote file:
- 33.4 MB
- SHA256:
- 7666402c0617d170e6b0a985b3130c3fb0795393aa0970600994a5d9aae12351
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