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:
- c307289546640b978f9963e4cffd702b5ac98bb5b9350845ce0a5d3bf5b2b662
- Size of remote file:
- 1.52 MB
- SHA256:
- 35a3d3c555dd13ca55a73eb34737d16ea84371d298ef2aa6d81f201eebe241f2
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