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:
- 589c64edb5d6a85b3af25b9070d8fd2d8184d0151427b05fdb218703794edbf8
- Size of remote file:
- 634 kB
- SHA256:
- 520a8d299eb7af66e16f361ffeda94f3e89a60611950ebfc35e1b24a50ba192b
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