Text Generation
fastText
Moksha
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_volgaic
Instructions to use wikilangs/mdf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mdf with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mdf", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99d4fcbab79dcffae26dd5b8ecca42b827a8be6bfa1a4fec7a1dff4ee50fc2f2
- Size of remote file:
- 548 kB
- SHA256:
- 49fe4ac7144a311a08801beafb2c99adabf6a121bf6b415225c93a87451f8a49
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