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

- Xet hash:
- 1a8bc0761cf1217470d84788e7d3e516101cc644ac64ae7e8eb4d134cb79a0c2
- Size of remote file:
- 111 kB
- SHA256:
- 99b3629758e85267a9cc35c15a38376aeca866d2064091f7ebc5cfa562d4fe4b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.