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:
- e4d3e3846da421ecb634278cb549dbe921e0b17fd6c38f98791625e720a5a565
- Size of remote file:
- 4.22 kB
- SHA256:
- b285b8fb61d8d3ab2c8b193d8a9c4696d1f358b4f6a262db5fb3a6e35ce87306
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