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

- Xet hash:
- af0f62aa3e270eb7adb5b02b9a8231825bd159346f440e3f723c590e10f7c5a7
- Size of remote file:
- 261 kB
- SHA256:
- 0461a9153ce99335a0b8748132cb27483ddf61cca61ae26e6e1ecd11fadd2ece
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.