Text Generation
fastText
Obolo
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_other
Instructions to use wikilangs/ann with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ann with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ann", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5028ec4ffeb29280c7da4875931f43d672aa64719f73b8ddb957f7960231fddc
- Size of remote file:
- 257 MB
- SHA256:
- 6ef8cdd15f948d80be885263043c7688460fd182172f2154c015b80d3a886320
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.