Text Generation
fastText
Udmurt
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_permian
Instructions to use wikilangs/udm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/udm with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/udm", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7211ba6b5533cadc49840a71de7ed3c119d87db5e8f547ce953a8b61eddbb71f
- Size of remote file:
- 260 MB
- SHA256:
- 18bc83b2b1b429bb7a2b77067ab93ff344d0fd1aff40d409967d0fa15ec5b00e
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