Text Generation
fastText
Haitian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-romance_creole
Instructions to use wikilangs/ht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ht with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ht", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf73d98eb956122b5dda49152c04ddf2c865f0ba17fa2969adab1d9a89ef4148
- Size of remote file:
- 505 kB
- SHA256:
- 82ecfa713e7c145e2b3044919fa43e5650f6f1ec31cd9ad2f2ca0796a8c4cd97
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.