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
- ha
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-hausa
Hausa fine-tuned LLM using sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2.
Hausa words typically comprise diverse blends of vowels and consonants. The Hausa language boasts a vibrant phonetic framework featuring twenty-three consonants, five vowels, and two diphthongs. Words in Hausa can fluctuate in length and intricacy, but they usually adhere to uniform configurations of syllable arrangement and articulation. Additionally, Hausa words often incorporate diacritical marks like the apostrophe and macron to signify glottal stops and long vowels.
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-hausa')
embeddings = model.encode(sentences)
print(embeddings)
License
This project is licensed under the MIT License.
Copyright
(c) 2024 Finbarrs Oketunji.