Automatic Speech Recognition
Transformers
PyTorch
Portuguese
wav2vec2
audio
speech
portuguese-speech-corpus
PyTorch
Instructions to use lgris/bp-tedx100-xlsr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/bp-tedx100-xlsr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/bp-tedx100-xlsr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/bp-tedx100-xlsr") model = AutoModelForCTC.from_pretrained("lgris/bp-tedx100-xlsr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "e": 5, "a": 6, "o": 7, "s": 8, "r": 9, "i": 10, "n": 11, "m": 12, "u": 13, "t": 14, "d": 15, "c": 16, "p": 17, "l": 18, "q": 19, "v": 20, "g": 21, "f": 22, "h": 23, "ã": 24, "b": 25, "é": 26, "ç": 27, "z": 28, "á": 29, "ê": 30, "j": 31, "ó": 32, "í": 33, "x": 34, "ú": 35, "-": 36, "õ": 37, "à": 38, "k": 39, "â": 40, "ô": 41, "y": 42, "w": 43} |