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:
- 6517b9217ed605602934231a673667608ed9ef5f9de7dffbc88a56ccf703c445
- Size of remote file:
- 257 MB
- SHA256:
- f073d0f04e7bd289b4d3f4fcb02870ecfb1b61ce0755a5fab22635f7c6c31b5e
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