Text Generation
fastText
sh
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_south
Instructions to use wikilangs/sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/sh with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/sh", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb3ac7dd7260e87852384549dac79ecde105ae27d21b0301d0f41ddb2f6f58a1
- Size of remote file:
- 826 MB
- SHA256:
- 1b2cda0c4237424ce4d9bd3638c87b9bd4adb946ad4c3625fc26baf97124befc
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