Text Generation
fastText
Navajo
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-american_athabaskan
Instructions to use wikilangs/nv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/nv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/nv", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7a9bad8ec90cccb659c13effa771442272cb9760129a03f01a2ef105953c038
- Size of remote file:
- 377 kB
- SHA256:
- 2c6d8d94fdb4d8fa64f1dff2274a9d7f3dc15dd2cd9ca92f68ade4b72d58d123
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.