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:
- 7165f7097d326b30d94bdecae89b004635b58c77aefbe365c43a4ecff20de875
- Size of remote file:
- 112 kB
- SHA256:
- eda8620687edaf2b5f0ed8219b8c7e31d1b624ecc814dc9620a76f165abf48a9
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