Feature Extraction
MLX
English
hrr
vsa
holographic-reduced-representations
tokenizer
morphemes
compositional
Instructions to use thebasedcapital/morph-hrr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use thebasedcapital/morph-hrr with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir morph-hrr thebasedcapital/morph-hrr
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| [build-system] | |
| requires = ["hatchling"] | |
| build-backend = "hatchling.build" | |
| [project] | |
| name = "morph-hrr" | |
| version = "0.1.1" | |
| description = "Compositional HRR morpheme tokenizer/embeddings: circular-convolution prefix (x) root (x) suffix, for Apple MLX." | |
| readme = "README.md" | |
| requires-python = ">=3.11" | |
| license = "MIT" | |
| authors = [{ name = "BB Claude" }] | |
| keywords = ["hrr", "vsa", "hyperdimensional", "tokenizer", "morphology", "mlx", "embeddings", "circular-convolution"] | |
| classifiers = [ | |
| "Programming Language :: Python :: 3", | |
| "License :: OSI Approved :: MIT License", | |
| "Operating System :: MacOS", | |
| ] | |
| dependencies = ["mlx", "numpy"] | |
| [project.optional-dependencies] | |
| test = ["pytest"] | |
| [project.urls] | |
| Repository = "https://huggingface.co/<user>/morph-hrr" | |
| [tool.hatch.build.targets.wheel] | |
| packages = ["src/morph_hrr"] | |
| [tool.pytest.ini_options] | |
| pythonpath = ["src"] | |