Instructions to use Neopix/python-math-llama-1b-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neopix/python-math-llama-1b-bf16 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Neopix/python-math-llama-1b-bf16", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio new
How to use Neopix/python-math-llama-1b-bf16 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 Neopix/python-math-llama-1b-bf16 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 Neopix/python-math-llama-1b-bf16 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Neopix/python-math-llama-1b-bf16 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Neopix/python-math-llama-1b-bf16", max_seq_length=2048, )
- Xet hash:
- 3401fd204c3338a682c8771409fc6d5151e6fabbcece5ba6a4e2a8aafc92b5d0
- Size of remote file:
- 22.6 MB
- SHA256:
- fe4ffe9e0f1a1f8f60b2181a9b263cf70fc08597aa1a2c45e22c8963ef1d7f21
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