Instructions to use Alexis-Az/Math-Problem-LlaMA-3.2-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alexis-Az/Math-Problem-LlaMA-3.2-1.7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Alexis-Az/Math-Problem-LlaMA-3.2-1.7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use Alexis-Az/Math-Problem-LlaMA-3.2-1.7B 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 Alexis-Az/Math-Problem-LlaMA-3.2-1.7B 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 Alexis-Az/Math-Problem-LlaMA-3.2-1.7B to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Alexis-Az/Math-Problem-LlaMA-3.2-1.7B to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Alexis-Az/Math-Problem-LlaMA-3.2-1.7B", max_seq_length=2048, )
- Xet hash:
- 1843736c8e3f59061962891f93ee99775fac32bdf5c7ca82b17b9d7c6c7faefb
- Size of remote file:
- 3.52 MB
- SHA256:
- 7d27c493c729a66ecefc837280b05d948b1ed50d130eebdbf911b1b36cf38ed7
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