metadata
language:
- multilingual
- ar
- bg
- ca
- cs
- da
- de
- el
- en
- es
- et
- fa
- fi
- fr
- gl
- gu
- he
- hi
- hr
- hu
- hy
- id
- it
- ja
- ka
- ko
- ku
- lt
- lv
- mk
- mn
- mr
- ms
- my
- nb
- nl
- pl
- pt
- ro
- ru
- sk
- sl
- sq
- sr
- sv
- th
- tr
- uk
- ur
- vi
- vls
- zea
- lim
license: mit
library_name: sentence-transformers
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
language_bcp47:
- fr-ca
- pt-br
- zh-cn
- zh-tw
pipeline_tag: sentence-similarity
inference: false
0xnu/pmmlv2-fine-tuned-flemish
Flemish fine-tuned LLM using sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2.
Flemish words typically consist of various combinations of vowels and consonants. The Flemish language has a diverse phonetic structure, including twenty-two consonants, twelve vowels, and some diphthongs. The language also features many loanwords from French, Latin, and other languages, adopted and adapted over time to fit the language's phonetic and grammatical structure.
Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
pip install -U sentence-transformers
Then you can use the model like this:
from sentence_transformers import SentenceTransformer
sentences = ["Met de deur in huis vallen", "Niet geschoten is altijd mis"]
model = SentenceTransformer('0xnu/pmmlv2-fine-tuned-flemish')
embeddings = model.encode(sentences)
print(embeddings)
License
This project is licensed under the MIT License.
Copyright
(c) 2024 Finbarrs Oketunji.