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:
- 426358e78b3e041e858783181796381229ef013b5ea274cb5f8c17f79ab23952
- Size of remote file:
- 236 kB
- SHA256:
- 9b9e6cf0c827dcdc488d2d078007985584a50462dbae7011ed1f8004e10bc237
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