Text Generation
fastText
Welsh
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-celtic_brythonic
Instructions to use wikilangs/cy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cy with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cy", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_similarity.png from wikilangs/cy: direct link, hf CLI and curl.
- Browser
- Download file 156 kB
-
https://huggingface.co/wikilangs/cy/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/cy/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/cy/resolve/main/visualizations/embedding_similarity.png
156 kB

- Xet hash:
- 4c3781612f8b3f80f411a0315c705fbdf03ad86be273f427658d38d120b221fb
- Size of remote file:
- 156 kB
- SHA256:
- dd44054bf161555f928b9d31c7f702229e84215fef48af9640bafe4f5cca9538
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.