Text Generation
fastText
Finnish
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_finnic
Instructions to use wikilangs/fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/fi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/fi", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6112b0ba54964f2898d7b7feb933a666fabe7dd2b67852217c5126143d604285
- Size of remote file:
- 115 kB
- SHA256:
- 75d376f5d256c4311b5a72c6ffd9f608919f9911e3f44e3f2902bc2bff1444f5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.