audio to texto pt br
Overview
The 'audio to texto pt br' model is a specialized speech-to-text engine optimized specifically for Brazilian Portuguese. For developers building localized applications, this model bridges the gap between raw audio input and structured text, handling the nuances of regional phonetics better than generic multilingual models. It is ideal for automating transcription services, building voice-command interfaces, or indexing audio archives for searchability. With an Apache-2.0 license, it offers the flexibility needed for commercial integration without restrictive overhead. Integration is straightforward for those already working within standard audio-processing pipelines, providing a reliable utility for converting PT-BR speech into clean, machine-readable text.
Highlights
- Optimized specifically for Brazilian Portuguese speech recognition
- Permissive Apache-2.0 license for commercial deployment
- Ideal for transcription and voice-command application builds
- Streamlines audio-to-text pipelines for localized software
Usage
Install
# Install Hugging Face transformers
pip install transformers torch
SDK Usage
# Load model with transformers
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("handsonbrain/audio-to-texto-pt-br")
tokenizer = AutoTokenizer.from_pretrained("handsonbrain/audio-to-texto-pt-br")
Hugging Face Download
We recommend downloading the model via the Hugging Face CLI or Hub SDK.
Guidance:Before downloading, install huggingface_hub with:
Guidance
pip install -U huggingface_hub
CLI Download
Download the full repository
Download the full repository
huggingface-cli download handsonbrain/audio-to-texto-pt-br
Download a single file to a local folder (e.g. config.json into ./dir)
Download a single file to a local folder (e.g. config.json into ./dir)
huggingface-cli download handsonbrain/audio-to-texto-pt-br config.json --local-dir ./dir
See the official docs for more CLI options
SDK Download
SDK Download
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('handsonbrain/audio-to-texto-pt-br')
Git Download
Make sure git-lfs is installed first
Git Download
git lfs install
git clone https://huggingface.co/handsonbrain/audio-to-texto-pt-br
To skip LFS large-file downloads, use:
Skip LFS
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/handsonbrain/audio-to-texto-pt-br
Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.
PyTorch / Transformers Usage
Install Transformers
Install Transformers
pip install -U transformers torch
Load the model and run inference
Load the model and run inference
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('handsonbrain/audio-to-texto-pt-br')
tokenizer = AutoTokenizer.from_pretrained('handsonbrain/audio-to-texto-pt-br')