Instructions to use FaceHugger152/agent4.21-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FaceHugger152/agent4.21-lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FaceHugger152/agent4.21-lora", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use FaceHugger152/agent4.21-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 FaceHugger152/agent4.21-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 FaceHugger152/agent4.21-lora to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for FaceHugger152/agent4.21-lora to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="FaceHugger152/agent4.21-lora", max_seq_length=2048, )
- Xet hash:
- b47273b41b5c1e31a0bdc5004e15732b85afd3419254b21c4236b022299c22d4
- Size of remote file:
- 11.4 MB
- SHA256:
- ab6396573f3497074684c95229080b49780a56fb5f3f3e8b480ea59e526c91f2
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