Feature Extraction
Kernels
Scikit-learn
kernel
governance
provenance
suite
embeddings
word-embeddings
doi:10.5281/zenodo.19944926
Instructions to use SZLHOLDINGS/szl-kernels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/szl-kernels with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/szl-kernels") - Scikit-learn
How to use SZLHOLDINGS/szl-kernels with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("SZLHOLDINGS/szl-kernels", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
File size: 399 Bytes
7842caa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"model": "SZL-MiniEmbed",
"method": "term-term co-occurrence (distance-weighted, window=5) -> PPMI -> TruncatedSVD",
"dim": 128,
"vocab_size": 3290,
"min_count": 5,
"window": 5,
"seed": 20260721,
"normalization": "L2 row-normalized",
"files": {
"vectors": "vectors.npz (key 'vectors', float32 [V,dim])",
"vocab": "vocab.json ({'vocab':[term...], 'index':{term:i}})"
}
} |