Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Italian
wav2vec2
audio
speech
phonemize
phoneme
Eval Results (legacy)
Instructions to use Cnam-LMSSC/wav2vec2-italian-phonemizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cnam-LMSSC/wav2vec2-italian-phonemizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cnam-LMSSC/wav2vec2-italian-phonemizer")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Cnam-LMSSC/wav2vec2-italian-phonemizer") model = AutoModelForCTC.from_pretrained("Cnam-LMSSC/wav2vec2-italian-phonemizer") - Notebooks
- Google Colab
- Kaggle
| { | |
| "[PAD]": 36, | |
| "[UNK]": 35, | |
| "a": 1, | |
| "b": 2, | |
| "d": 3, | |
| "e": 4, | |
| "f": 5, | |
| "h": 6, | |
| "i": 7, | |
| "j": 8, | |
| "k": 9, | |
| "l": 10, | |
| "m": 11, | |
| "n": 12, | |
| "o": 13, | |
| "p": 14, | |
| "r": 15, | |
| "s": 16, | |
| "t": 17, | |
| "u": 18, | |
| "v": 19, | |
| "w": 20, | |
| "z": 21, | |
| "|": 0, | |
| "ŋ": 22, | |
| "ɔ": 23, | |
| "ɛ": 24, | |
| "ɡ": 25, | |
| "ɪ": 26, | |
| "ɲ": 27, | |
| "ɾ": 28, | |
| "ʃ": 29, | |
| "ʊ": 30, | |
| "ʎ": 31, | |
| "ʒ": 32, | |
| "ː": 33, | |
| "̪": 34 | |
| } | |