Text Generation
fastText
Twi
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_kwa
Instructions to use wikilangs/tw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tw with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tw", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 081443b34a02c2c3e2bc163fad89d4c50bc31b09c64ae002e25d688c696d77b1
- Size of remote file:
- 1.35 MB
- SHA256:
- 6442304b3690f3948e333ce62bb5b1c17034cabb7eca60329e11e79b287c3dd4
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