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twi-kenlm-5gram-small
ghananlpcommunity/twi-kenlm-5gram-small
twi-kenlm-5gram-small is a machine learning model from ghananlpcommunity. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a 5-gram KenLM language model trained on a massive Twi corpus of 278 Million tokens and a vocabulary of 381,218 unique words.
Access
Public
Updated Mar 24, 2026
Repo size
1.4 GB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin1.4 GB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Mar 24, 2026
- Updated
- Mar 24, 2026
- SHA
- c228e301
Datasets
Model card
From the Hugging Face model README
Twi KenLM 5-gram Language Model (Quantized (Small))
This is a 5-gram KenLM language model trained on a massive Twi corpus of 278 Million tokens and a vocabulary of 381,218 unique words.
It is specifically designed to be used with Wav2Vec2 or MMS (Massively Multilingual Speech) models for Speech-to-Text (STT) tasks to improve transcription accuracy and word correction.
Model Details
- Order: 5-gram
- Type: Quantized (Small)
- RAM Usage: ~1.3GB
- Dataset: GhanaNLP Pristine Twi (999k rows)
Usage
This model can be integrated into Hugging Face Wav2Vec2ProcessorWithLM.
from transformers import Wav2Vec2ProcessorWithLM
# Load your processor and point to this .bin file
Created with love by Mich-Seth Owusu for the Ghana NLP Community.
- License
- apache-2.0
- Languages
- tw
- Created
- Mar 24, 2026
- Updated
- Mar 24, 2026