Instructions to use TOTORONG/Command_A_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TOTORONG/Command_A_Lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TOTORONG/Command_A_Lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use TOTORONG/Command_A_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 TOTORONG/Command_A_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 TOTORONG/Command_A_Lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for TOTORONG/Command_A_Lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="TOTORONG/Command_A_Lora", max_seq_length=2048, )
- Xet hash:
- 694e932cf9150a4166b4e84b2116a580d1429e71faab4fc0e7d053be3552c5d6
- Size of remote file:
- 7.31 GB
- SHA256:
- 384016953e150a7ad23abe434cce08de5e6d041f42cbd98623bd5c42cf2335ea
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