Text Generation
fastText
Goan Konkani
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_central
Instructions to use wikilangs/gom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/gom with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/gom", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2631bf2a1ab671b4b06442e9fd358ff0b128b81e75381afd3c5c241a413f467
- Size of remote file:
- 267 MB
- SHA256:
- 84a758e7eeab36abba58833808d23d9b932dbab7e36629f1ac078733108f05d8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.