Instructions to use Raffay/speech_processing_project_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raffay/speech_processing_project_wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Raffay/speech_processing_project_wav2vec2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Raffay/speech_processing_project_wav2vec2") model = AutoModelForCTC.from_pretrained("Raffay/speech_processing_project_wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
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{"ذ": 0, "ز": 1, "ع": 2, "ے": 3, "ش": 4, "ث": 5, "ٹ": 6, "ل": 7, "ب": 8, "ں": 9, "ق": 10, "ف": 11, "ء": 12, "ط": 13, "س": 14, "م": 15, "چ": 16, "ظ": 17, "ت": 18, "ر": 19, "ن": 20, "ھ": 21, "پ": 22, "ج": 23, "ڑ": 24, "ص": 25, "ی": 26, "د": 27, "ژ": 28, "آ": 29, "ح": 30, "ئ": 31, "گ": 32, "ؤ": 33, "ا": 34, "و": 35, "ڈ": 36, "ض": 37, "خ": 38, "غ": 39, "ک": 40, " ": 41, "ہ": 42, "[UNK]": 43, "[PAD]": 44}
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