Instructions to use spacyturk/tr_floret_web_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacyturk/tr_floret_web_lg with spaCy:
!pip install https://huggingface.co/spacyturk/tr_floret_web_lg/resolve/main/tr_floret_web_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tr_floret_web_lg") # Importing as module. import tr_floret_web_lg nlp = tr_floret_web_lg.load() - Notebooks
- Google Colab
- Kaggle
Turkish floret vectors
| Feature | Description |
|---|---|
| Name | tr_floret_web_lg |
| Version | 3.5.0 |
| spaCy | >=3.5.0,<3.6.0 |
| Default Pipeline | |
| Components | |
| Vectors | -1 keys, 200000 unique vectors (300 dimensions) |
| Sources | OSCAR Corpus 21.09 (Julien Abadji, Pedro Ortiz Suarez) |
| License | MIT |
| Author | Bedii A. Aydogan |
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