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:
- 10cdc6316f63927e3ce8bfe72e4310b4a38f8ec94e3a870ece7b29a00b798dc5
- Size of remote file:
- 1.9 MB
- SHA256:
- 9874abdf6a805f3e5445963d4f1863c9c0174fd41fbf7ba09e3de7d5a1b1d4df
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