Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Persian
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use m3hrdadfi/wav2vec2-large-xlsr-persian-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m3hrdadfi/wav2vec2-large-xlsr-persian-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="m3hrdadfi/wav2vec2-large-xlsr-persian-v3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-persian-v3") model = AutoModelForCTC.from_pretrained("m3hrdadfi/wav2vec2-large-xlsr-persian-v3") - Notebooks
- Google Colab
- Kaggle
| {"<pad>": 0, "<s>": 1, "</s>": 2, "<unk>": 3, "|": 4, "آ": 5, "ئ": 6, "ا": 7, "ب": 8, "ت": 9, "ث": 10, "ج": 11, "ح": 12, "خ": 13, "د": 14, "ذ": 15, "ر": 16, "ز": 17, "س": 18, "ش": 19, "ص": 20, "ض": 21, "ط": 22, "ظ": 23, "ع": 24, "غ": 25, "ف": 26, "ق": 27, "ل": 28, "م": 29, "ن": 30, "ه": 31, "و": 32, "پ": 33, "چ": 34, "ژ": 35, "ک": 36, "گ": 37, "ی": 38, "": 39} |