Token Classification
MLX
eurobert
html
content-extraction
boilerplate-removal
web-scraping
encoder
custom-code
custom_code
Instructions to use Mike0021/pulpie-orange-small-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Mike0021/pulpie-orange-small-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir pulpie-orange-small-mlx Mike0021/pulpie-orange-small-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- f1d029dbee009e7698874dd20dd74086bd85683c4ca4863acf2904ad804aaace
- Size of remote file:
- 424 MB
- SHA256:
- d85e0ca355b6b39e161a06e88f71bcf947cd8f67e1c6813f6d789182d24c9c61
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.