Text Generation
fastText
Luxembourgish
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_continental
Instructions to use wikilangs/lb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lb with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lb", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download models/subword_markov/lb_markov_ctx1_subword_metadata.json from wikilangs/lb: direct link, hf CLI and curl.
- Browser
- Download file 127 Bytes
-
https://huggingface.co/wikilangs/lb/resolve/main/models/subword_markov/lb_markov_ctx1_subword_metadata.json
- Command line
-
hf download hf://wikilangs/lb/models/subword_markov/lb_markov_ctx1_subword_metadata.json
-
curl -L -o lb_markov_ctx1_subword_metadata.json https://huggingface.co/wikilangs/lb/resolve/main/models/subword_markov/lb_markov_ctx1_subword_metadata.json
127 Bytes
| { | |
| "context_size": 1, | |
| "variant": "subword", | |
| "language": "lb", | |
| "unique_contexts": 3270, | |
| "total_transitions": 88726209 | |
| } |