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:
- 2727c225706fa6ba4c799c85288775e9ffbf9d00060c5fb791969c9dc218fbd0
- Size of remote file:
- 369 kB
- SHA256:
- ceecc4f43fbab8a32119925b1eba8f8d43905607b1e21d773993c89a56f9ad1e
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