Text Generation
fastText
Tatar
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-turkic_kipchak
Instructions to use wikilangs/tt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tt with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tt", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4dbd3a7e7fd43b2ac3580b20dcd3ecb7bd42f512254887f3baada6d95ec8c881
- Size of remote file:
- 1.62 MB
- SHA256:
- 697305aa06389d7a145fb235be6508c0432e33eeacb17703392db5225c3f3925
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