metadata
language: tl
tags:
- lexical-normalization
- filipino
- byt5
base_model: google/byt5-base
FiLex: Filipino Lexical Normalization
A lexical normalization model for Filipino/Tagalog lexical normalization. Created by fine-tuning Google's ByT5-base model using a custom dataset. Converts informal/noisy Filipino text (e.g. SMS, social media) into its canonical form.
Usage
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
import torch
model = AutoModelForSeq2SeqLM.from_pretrained("Angelo25/Filipino-Lexical-Normalization")
tokenizer = AutoTokenizer.from_pretrained("Angelo25/Filipino-Lexical-Normalization")
model.eval()
inputs = tokenizer("Sample Input Text", return_tensors="pt").to(model.device)
output = model.generate(
**inputs,
max_new_tokens=inputs["input_ids"].shape[1] + 50,
num_beams=3,
early_stopping=True,
use_cache=True
)
print(tokenizer.decode(output[0], skip_special_tokens=True))