Instructions to use thedeba/Crowl-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thedeba/Crowl-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thedeba/Crowl-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use thedeba/Crowl-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 thedeba/Crowl-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 thedeba/Crowl-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for thedeba/Crowl-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="thedeba/Crowl-lora", max_seq_length=2048, )
- Xet hash:
- a82a18de7620216b87cfc1b2ad4531044a799b549ad0a0afe8d82b86b1674549
- Size of remote file:
- 5.91 kB
- SHA256:
- 9f75cafbb881e9669b2fbae3a3997b83576a8ec63eb47903a855c42d81475777
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