Automatic Speech Recognition
Transformers
PyTorch
JAX
Portuguese
wav2vec2
audio
speech
apache-2.0
portuguese-speech-corpus
xlsr-fine-tuning-week
PyTorch
Eval Results (legacy)
Instructions to use joaoalvarenga/model-sid-voxforge-cv-cetuc-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/model-sid-voxforge-cv-cetuc-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/model-sid-voxforge-cv-cetuc-0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-0") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from joaoalvarenga/model-sid-voxforge-cv-cetuc-0: direct link, hf CLI and curl.
- Browser
- Download file 510 Bytes
-
https://huggingface.co/joaoalvarenga/model-sid-voxforge-cv-cetuc-0/resolve/d7b41a2f85696892fb4525d149352609bfdf0665/vocab.json
- Command line
-
hf download hf://joaoalvarenga/model-sid-voxforge-cv-cetuc-0@d7b41a2f85696892fb4525d149352609bfdf0665/vocab.json
-
curl -L -o vocab.json https://huggingface.co/joaoalvarenga/model-sid-voxforge-cv-cetuc-0/resolve/d7b41a2f85696892fb4525d149352609bfdf0665/vocab.json
510 Bytes
| {"c": 0, "ñ": 1, "x": 2, "4": 4, "é": 5, "p": 6, "v": 7, "m": 8, "9": 9, "s": 10, "f": 11, "í": 12, "â": 13, "0": 14, "a": 15, "ã": 16, "6": 17, "u": 18, "h": 19, "e": 20, "ó": 21, "b": 22, "á": 23, "q": 24, "2": 25, "r": 26, "ü": 27, "y": 28, "ê": 29, "ç": 30, "d": 31, "t": 32, "": 33, "à": 34, "i": 35, "ì": 36, "1": 37, "j": 38, "k": 39, "w": 40, "õ": 41, "'": 42, "ú": 43, "o": 44, "n": 45, "è": 46, "5": 47, "ô": 48, "z": 49, "g": 50, "l": 51, "3": 52, "|": 3, "[UNK]": 53, "[PAD]": 54} |