Text Generation
fastText
Vlax Romani
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_romani
Instructions to use wikilangs/rmy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/rmy with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/rmy", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ef19c58afb1d37a952e6e28171407e78dfc6b7da7e0e97e8178c4feacfbc217
- Size of remote file:
- 513 kB
- SHA256:
- 643d557795cb7aec04443704efc4998c4b01e7f90b0a64686e8594b3c4ec7e78
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