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:
- f3ac26f88854bffa86c087e871710f5cc12b055e38821d11334311c52099c890
- Size of remote file:
- 1.18 MB
- SHA256:
- 254308266d9f6d2b25cf6f243ac772b8da21aee7a8058865453971b2b9d7a2cc
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