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:
- 288f00063f847fd82b0fb1141e0addd458dde137d0b314f54263ef611783df70
- Size of remote file:
- 260 kB
- SHA256:
- 670beed23c229297c33fb10c6f5a338072cf6e0e1a406089796c7ac6d1506771
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