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

- Xet hash:
- d936b1f731df355c853e45c83dbaed917cd9dd2d81a6436e21872b89ddd9735b
- Size of remote file:
- 107 kB
- SHA256:
- 75a1cb6b1219aff4e4cc1178e642c57d5c838193c5bf640ac27277b6648e3998
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