Text Generation
fastText
eml
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-romance_galloitalic
Instructions to use wikilangs/eml with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/eml with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/eml", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c14ae7b834f8496be9b56fedea745212922f417afbdb19e8f10b8c07d5da0700
- Size of remote file:
- 115 kB
- SHA256:
- e6ecc83ae8e8ef73378bfdd4d6e54927c5567680bf13f970555e3793eb304de2
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