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
Download visualizations/embedding_tsne_multilingual.png from wikilangs/pcm: direct link, hf CLI and curl.
- Browser
- Download file 228 kB
-
https://huggingface.co/wikilangs/pcm/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/pcm/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/pcm/resolve/main/visualizations/embedding_tsne_multilingual.png
228 kB

- Xet hash:
- ce9b56aa946d86eef2cb91508cd572ef8aadee9f78d705035ea6aa70dd94d693
- Size of remote file:
- 228 kB
- SHA256:
- 91f722d9b96b909af9032f1f2ee98bf440f4fb2eca36942a2c7fd9bc70be241c
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