Text Generation
fastText
Arpitan
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_galloitalic
Instructions to use wikilangs/frp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/frp with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/frp", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb88018863eb3afd9b8b3ca59dfa8c2ce475a5c44fdd60c4992ba66dbf0ab072
- Size of remote file:
- 779 kB
- SHA256:
- 66b2f17efefee5faa6ecab35d93f45980c4b9c3494ad84172c737b7b6524374b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.