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

- Xet hash:
- 1786b4f07983c89b1d089e7e1aa0f9a610cd556b64982da01bd3d9e2c2978a42
- Size of remote file:
- 378 kB
- SHA256:
- 50bec4e9ad058f8b8e2446d74c0b254accf60e85d5326ea4ac4b59124e605714
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