Instructions to use andy006/lora_instruct_model_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andy006/lora_instruct_model_id with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("andy006/lora_instruct_model_id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use andy006/lora_instruct_model_id 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 andy006/lora_instruct_model_id 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 andy006/lora_instruct_model_id to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for andy006/lora_instruct_model_id to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="andy006/lora_instruct_model_id", max_seq_length=2048, )
- Xet hash:
- 11973aac403ef9695af0ddf72a4bd0382b481a3549678513d859ab02e94c605b
- Size of remote file:
- 17.2 MB
- SHA256:
- 01e3be37353fbc0be479c7509d53c76860b7915a6b1852d5e75ec0c92707138b
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