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
| { | |
| "architecture": "EuroBertForTokenClassification", | |
| "format": "mlx", | |
| "implementation": "modeling_eurobert_mlx.py", | |
| "source_model": "feyninc/pulpie-orange-small", | |
| "variants": { | |
| "model-4bit.safetensors": { | |
| "description": "MLX affine weight quantized 4-bit variant.", | |
| "dtype": "quantized", | |
| "quantization": { | |
| "bits": 4, | |
| "group_size": 64, | |
| "mode": "affine" | |
| } | |
| }, | |
| "model-8bit.safetensors": { | |
| "description": "MLX affine weight quantized 8-bit variant.", | |
| "dtype": "quantized", | |
| "quantization": { | |
| "bits": 8, | |
| "group_size": 64, | |
| "mode": "affine" | |
| } | |
| }, | |
| "model-bf16.safetensors": { | |
| "description": "Native 16-bit BF16 MLX weights converted from the source safetensors.", | |
| "dtype": "bfloat16", | |
| "quantization": null | |
| } | |
| } | |
| } | |