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 models/tokenizer/awa_tokenizer_16k.model from wikilangs/awa: direct link, hf CLI and curl.
- Browser
- Download file 616 kB
-
https://huggingface.co/wikilangs/awa/resolve/main/models/tokenizer/awa_tokenizer_16k.model
- Command line
-
hf download hf://wikilangs/awa/models/tokenizer/awa_tokenizer_16k.model
-
curl -L -o awa_tokenizer_16k.model https://huggingface.co/wikilangs/awa/resolve/main/models/tokenizer/awa_tokenizer_16k.model
616 kB
- Xet hash:
- 1581b17b9a93b6bf55be0f5ed46ebd3503a3d6545baae97ef3c30f5beb4d3681
- Size of remote file:
- 616 kB
- SHA256:
- ea20d33d577e819754bd24f12bf4babfff9146b52def22c3b43a7f341995c825
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