Text Generation
fastText
Old English (ca. 450-1100)
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_historical
Instructions to use wikilangs/ang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ang with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ang", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 5cf9bd9b387781e336a30560c8de2533f4d55e032fa1c1aff9b58cf3f14a06ce
- Size of remote file:
- 109 kB
- SHA256:
- 7bbe11d347ecfd84f868bd98b83be5c2b916eba80dc7851ba3299563c1abfeff
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