Text Generation
fastText
Ladin
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/lld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lld with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lld", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- f257de209d722d0c3707392f5ec7d6833bbd8a903ca96582e5c1e2019d77962c
- Size of remote file:
- 353 kB
- SHA256:
- e5ade6c0386b7e3c9184eff22bea5f916fc85a6a65bfb37a822d5ef7520ee570
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