README

---
language: ["pt"]
tags:
- automatic-speech-recognition
- whisperx
- audio
- speech-to-text
- portuguese
license: mit
library_name: whisperx
base_model: openai/whisper-large-v3
datasets:
- your_dataset_name
metrics:
- wer
- cer
---

# WhisperX Large-v3 — PRE-ACORDO

This model is a **fine-tuned [WhisperX](https://github.com/m-bain/whisperX)** variant of `openai/whisper-large-v3`, trained for **Portuguese (pt) (European Portuguese, Brazilian and African and Asian Portuguese varieties)** automatic speech recognition (ASR).
From [CAMÕES](https://arxiv.org/pdf/2508.19721) work
---

## 🧠 Model Description
- **Base model:** `openai/whisper-large-v3`
- **Architecture:** Transformer encoder–decoder
- **Training:** Fine-tuned on around 800 hours of Portuguese speech
- **Task:** Transcription (`task="transcribe"`)
- **Compute type:** float16 (recommended)

## 🧩 Usage

```python
import whisperx

device = "cuda"  # or "cpu"
compute_type = "float16"

model = whisperx.load_model(
    "Miamoto/whisperx-pos-acordo",
    device=device,
    compute_type=compute_type,
    language="pt",
    task="transcribe"
)