Text Generation
fastText
Gujarati
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/gu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/gu with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/gu", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e3fb6b23694232e05c4d2b527bdc04fefa2b807889eba24241152f7d199ffcf
- Size of remote file:
- 632 kB
- SHA256:
- acb5e10349c3e847e89c76230f16ca09210dd2c8828557986bf55785247ec67b
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