Instructions to use mrcuddle/new-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrcuddle/new-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrcuddle/new-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use mrcuddle/new-lora 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 mrcuddle/new-lora 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 mrcuddle/new-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mrcuddle/new-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mrcuddle/new-lora", max_seq_length=2048, )
- Xet hash:
- 363e4cdd84a26308e880b2edb7d1c32e8118b6e642315a1f4ac625d43c6e5d8c
- Size of remote file:
- 17.1 MB
- SHA256:
- 3f0a9c36fb297452029a786652fd2a7ad7eea9fd6ff802ad083f7f747a4a3875
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