Text Generation
Safetensors
Hausa
English
hausa
stem
education
science
mathematics
physics
chemistry
biology
cultural-ai
african-languages
low-resource-language
instruction-tuning
unsloth
conversational
Instructions to use Tushe/AMINI-Culturally-Embedded-STEM-Hausa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use Tushe/AMINI-Culturally-Embedded-STEM-Hausa 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 Tushe/AMINI-Culturally-Embedded-STEM-Hausa 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 Tushe/AMINI-Culturally-Embedded-STEM-Hausa to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Tushe/AMINI-Culturally-Embedded-STEM-Hausa to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Tushe/AMINI-Culturally-Embedded-STEM-Hausa", max_seq_length=2048, )
- Xet hash:
- d1764001543899106a3168f0d55a6a527fadce55b617f89242903ae4ace0ef8d
- Size of remote file:
- 17.2 MB
- SHA256:
- 3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
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