AI Models
OlaverseLID Neural 5.1
LID family · open weights on Hugging Face.
Neural language identification across Nigerian languages (Yorùbá, Igbo, Hausa, Pidgin, English).
Transformers
Safetensors
Modernbert
Text Classification
Language Identification
Langid
Nigerian
Hausa
Yoruba
Igbo
Naija
Nigerian Pidgin
Lid
Hausa
Yoruba
Igbo
Nigerian Pidgin
Base: olaverse/mist-encoder-base-ng
Base: olaverse/mist-encoder-base-ng
Licence: apache-2.0
Text Embeddings Inference
Endpoints Compatible
0
Likes
105
Downloads
Jun 2026
Created
Model Card
Built for production use.
Quick Start
Use LID Neural 5.1, straight from its model card.
example.py
from the model cardfrom transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
tok = AutoTokenizer.from_pretrained("olaverse/lid-neural-5.1")
model = AutoModelForSequenceClassification.from_pretrained("olaverse/lid-neural-5.1")
text = "Ina kwana?"
inputs = tok(text, return_tensors="pt", truncation=True, max_length=128)
with torch.no_grad():
probs = model(**inputs).logits.softmax(-1)[0]
pred = model.config.id2label[int(probs.argmax())]
print(pred, float(probs.max())) # -> Hausa 0.99
Model Card
Official Repository README
Dynamically loaded from Hugging Face
Model card metadata is available on Hugging Face.
Built with
Transformers PyTorch Python
Built by Olaverse Labs
Ready to try LID Neural 5.1?
Neural language identification across Nigerian languages (Yorùbá, Igbo, Hausa, Pidgin, English).
Model Ecosystem