Instructions to use sakelariev/bg_floret_vectors_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use sakelariev/bg_floret_vectors_lg with spaCy:
!pip install https://huggingface.co/sakelariev/bg_floret_vectors_lg/resolve/main/bg_floret_vectors_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("bg_floret_vectors_lg") # Importing as module. import bg_floret_vectors_lg nlp = bg_floret_vectors_lg.load() - Notebooks
- Google Colab
- Kaggle
Bulgarian word vectors for a Bulgarian Spacy model.
The floret vectors are trained on the Oscar 21.09 corpus and Bulgarian Wikipedia pages using with the following hyperparameters: floret cbow -dim 300 -mode floret -bucket 200000 -minn 4 -maxn 5 -minCount 20 -neg 10 -hashCount 2 -lr 0.05 -thread 8
| Feature | Description |
|---|---|
| Name | bg_floret_vectors_lg |
| Version | 1.0 |
| Vectors | 200000 keys (300 dimensions) |
| Sources | OSCAR Corpus 21.09 (Julien Abadji, Pedro Ortiz Suarez), Wikipedia (bgwiki-latest-pages-articles from June 11th) |
| License | MIT |
| Author | Ivaylo Sakelariev |
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