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:
- 4d76d2ae83487ee74c515230e05fc08ed3e81468f64841c1f18c8e5e5481112b
- Size of remote file:
- 657 kB
- SHA256:
- 1132be56186743a15a98e72dfb528d129611cd11c732d4cec4f5a9b7a3a9a076
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