Instructions to use anhdai312/Math_Version_4_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdai312/Math_Version_4_8 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdai312/Math_Version_4_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use anhdai312/Math_Version_4_8 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 anhdai312/Math_Version_4_8 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 anhdai312/Math_Version_4_8 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for anhdai312/Math_Version_4_8 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="anhdai312/Math_Version_4_8", max_seq_length=2048, )
- Xet hash:
- ffba9f10868edfb15e551e87fe1b9938a371536a15a91179b1861a23b0430aac
- Size of remote file:
- 82.5 MB
- SHA256:
- ba38bc91c04efe2b85a3971bb42e8d18238196ec118575ddca7c5811f765e969
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