Instructions to use mrcuddle/new-lora1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrcuddle/new-lora1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrcuddle/new-lora1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use mrcuddle/new-lora1 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-lora1 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-lora1 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-lora1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="mrcuddle/new-lora1", max_seq_length=2048, )
- Xet hash:
- 55002a5e33f8bc6b0db1e9a9205b3a17808c65aa441c8f6a7cc597462f17ffad
- Size of remote file:
- 17.1 MB
- SHA256:
- 7de8d1ac02b2601f6a5462f000a88b935f5e45096fe409144633d760c27ed446
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