Text Generation
fastText
Burmese
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-tibetoburman_burmese
Instructions to use wikilangs/my with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/my with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/my", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_similarity.png from wikilangs/my: direct link, hf CLI and curl.
- Browser
- Download file 138 kB
-
https://huggingface.co/wikilangs/my/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/my/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/my/resolve/main/visualizations/embedding_similarity.png
138 kB

- Xet hash:
- a1245987eec4d86ea26d018fc78ba283dba9166fb28ac2569e5d0bdcafccd4b2
- Size of remote file:
- 138 kB
- SHA256:
- 106eb6a50686acbcf01a38169a91f0d40b9d08bb1c8cf306cc490058587e313a
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