Text Generation
fastText
Mingrelian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-kartvelian
Instructions to use wikilangs/xmf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/xmf with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/xmf", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_words.png from wikilangs/xmf: direct link, hf CLI and curl.
- Browser
- Download file 642 kB
-
https://huggingface.co/wikilangs/xmf/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/xmf/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/xmf/resolve/main/visualizations/tsne_words.png
642 kB

- Xet hash:
- be45ed0214982b892f013fe02a92797699a47f8326a15ee3f7935d8f26c2a3b3
- Size of remote file:
- 642 kB
- SHA256:
- 35b6c8aba5d410474280daa358ec6b2172bafaf1e392c513f9e90b54bccfaba8
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