Gherbal
FastText-based multilingual language identification with HuggingFace Hub integration.
Supports 200+ languages including fine-grained Arabic dialect detection.
Installation
pip install gherbal
Quick Start
from gherbal import Gherbal
# Load from HuggingFace Hub
model = Gherbal.from_pretrained("omarkamali/gherbal")
# Predict language
model.predict("Hello, how are you?")
# => [('eng_Latn', 0.99)]
model.predict("مرحبا كيف حالك")
# => [('arb_Arab', 0.95)]
Loading a Local Model
model = Gherbal.from_pretrained("./path/to/model")
Training
import pandas as pd
from gherbal import Gherbal
df = pd.DataFrame({"text": [...], "label": [...]})
model = Gherbal.train(df, save_path="./my_model")
Preprocessing
from gherbal import preprocess_text, create_clean_script_function
text = preprocess_text("Hello @user https://example.com 🎉")
# => "hello"
# Script-aware cleaning
clean = create_clean_script_function()
clean("Latn", "Hello World 123")
# => "Hello World"
Pushing to HuggingFace Hub
model.push_to_hub("username/my-gherbal-model")
License
MIT
1 maintainer
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