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

- Xet hash:
- 7bdd871eb773fdf848e2c1aa4e1c3e4aafb23f4b77ddeb5ed4831e2e899102a1
- Size of remote file:
- 117 kB
- SHA256:
- 6f3ac623c0fe8f4795206672b4a39c64ad2d2ae6eaaf59bd19420a94e8dba878
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