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0xnu
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pmmlv2-fine-tuned-flemish

Sentence Similarity
sentence-transformers
Safetensors
Transformers
53 languages
bert
feature-extraction
text-embeddings-inference
Model card Files Community
pmmlv2-fine-tuned-flemish
File size: 1,795 Bytes 
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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
- 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

Igbo fine-tuned LLM using [sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2).

[Flemish](https://en.wikipedia.org/wiki/Flemish_dialects) 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](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-flemish')
embeddings = model.encode(sentences)
print(embeddings)
```

### License

This project is licensed under the [MIT License](./LICENSE).

### Copyright

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