Instructions to use Phazel/fa-floret-wiki-vectors with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Phazel/fa-floret-wiki-vectors with spaCy:
!pip install https://huggingface.co/Phazel/fa-floret-wiki-vectors/resolve/main/fa-floret-wiki-vectors-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fa-floret-wiki-vectors") # Importing as module. import fa-floret-wiki-vectors nlp = fa-floret-wiki-vectors.load() - fastText
How to use Phazel/fa-floret-wiki-vectors with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("Phazel/fa-floret-wiki-vectors", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 163a897a4bc8e4bf3429569ec8af58bc39e3c08043f7a3c9fbb667428a5b826f
- Size of remote file:
- 363 MB
- SHA256:
- b50a41612f39a494ad1e6c596255dc1860fbb35fb9b0c087e9d42aa55b1aeb90
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