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

- Xet hash:
- 25215123f905121a4bd44d346279d3b3589c3d15b789d578f916f2daafe8fca2
- Size of remote file:
- 697 kB
- SHA256:
- 2fa08c97d1e5c60b6bad17db2319f5dcc745b97a271ab28ae79520794c89117c
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