Instructions to use Raffay/org_speech_processing_project_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raffay/org_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/org_speech_processing_project_wav2vec2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Raffay/org_speech_processing_project_wav2vec2") model = AutoModelForCTC.from_pretrained("Raffay/org_speech_processing_project_wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- vocab.json +1 -1
vocab.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"ژ": 0, "ز": 1, "ظ": 2, "ش": 3, "ف": 4, "ا": 5, "ر": 6, "چ": 7, "د": 8, "ص": 9, "ب": 10, "و": 11, "ئ": 12, "ء": 13, "ھ": 14, "ض": 15, "ط": 16, "ں": 17, "ڈ": 18, "س": 19, "ہ": 20, "غ": 21, "ؤ": 22, "ڑ": 23, "ک": 24, "ن": 25, "خ": 26, "ج": 27, "ث": 28, "آ": 29, "ت": 30, "ی": 31, "ق": 32, "ح": 33, " ": 34, "ع": 35, "ذ": 36, "ے": 37, "پ": 38, "ل": 39, "گ": 40, "م": 41, "ٹ": 42, "[UNK]": 43, "[PAD]": 44}
|