Text Generation
fastText
Latvian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-baltic
Instructions to use wikilangs/lv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lv", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a557ef04b57b3a837f73bd55f2b8b061e13e786a92b15ad8cfc341939ff06fcb
- Size of remote file:
- 282 kB
- SHA256:
- fef622ec4f457ea315ab72c79536661daf769f848d359983c26b9aa48bcbb50e
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