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

- Xet hash:
- 58599162926c0d8b6a16e4124024705e76ea6c39f4414422fc1fdb33d31b3d85
- Size of remote file:
- 108 kB
- SHA256:
- c96f501cb858915490ebd4c0e196f0cb5acc6247eb3625a4eb8771938bc4e660
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