Language Label	Description
english	English
chichewa	Chichewa
nyanja_cinyanja	Nyanja / Cinyanja
bemba_cibemba	Bemba / Cibemba
tonga_chitonga	Tonga / Chitonga
lozi_cilozi	Lozi / Silozi
luvale_cilubale	Luvale
lunda_cilunda	Lunda
kaonde_kikaonde	Kaonde
tumbuka_chitumbuka	Tumbuka
lambya_chilambya	Lambya
mambwe_cimambwe_lungu	Mambwe / Lungu
lenje_cilenje	Lenje
lamba_cilamba	Lamba
chokwe_cichokwe	Chokwe
lala_bisa	Lala / Bisa
luchazi_ciluchazi	Luchazi
swahili_congo	Congolese Swahili
shona_cishona	Shona
lusaka_slang	Lusaka urban slang
unknown	Unknown / unsupported / noisy text

python

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model_name = "YOUR_USERNAME/ZambiaLLM-mBERT"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

text = "iwe butah naleya ku town today"

inputs = tokenizer(
    text,
    return_tensors="pt",
    truncation=True,
    padding=True
)

with torch.no_grad():
    outputs = model(**inputs)

pred = outputs.logits.argmax(dim=-1).item()

print(pred)

kelvinmbewe/ZambiaLLM_mmBERT

ZambiaLLM-mBERT

kelvinmbewe/
ZambiaLLM_mmBERT