Text Generation
fastText
Pampanga
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_philippine_northern
Instructions to use wikilangs/pam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/pam with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/pam", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17bed1a17d11b326e127889cd7c1380b95584d3898ba29ba4a3ee953247c1702
- Size of remote file:
- 504 kB
- SHA256:
- 892e64647c1d0197620fa9582d10eca6af7451ae6beb53320f2e025d1bd319bc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.