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
Download visualizations/tsne_words.png from wikilangs/awa: direct link, hf CLI and curl.
- Browser
- Download file 687 kB
-
https://huggingface.co/wikilangs/awa/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/awa/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/awa/resolve/main/visualizations/tsne_words.png
687 kB

- Xet hash:
- d6425b88c74d410b7182b6b916ca1122504a874eefd06a3ae66fe6de75e4e84f
- Size of remote file:
- 687 kB
- SHA256:
- fd197c7f6015ee393542b4663f5f9562e4526d761a0dadd78d94178d932fa213
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