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0xnu
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pmmlv2-fine-tuned-hausa

Sentence Similarity
sentence-transformers
Safetensors
Transformers
51 languages
bert
feature-extraction
text-embeddings-inference
Model card Files Community
pmmlv2-fine-tuned-hausa
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---
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](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2).

[Hausa](https://en.wikipedia.org/wiki/Hausa_language) 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](https://www.SBERT.net) installed:

```
pip install -U sentence-transformers
```

Then you can use the model like this:

```python
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](./LICENSE).

### Copyright

(c) 2024 [Finbarrs Oketunji](https://finbarrs.eu).