Automatic Speech Recognition
Transformers
PyTorch
Hindi
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use shivam/wav2vec2-xls-r-300m-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivam/wav2vec2-xls-r-300m-hindi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shivam/wav2vec2-xls-r-300m-hindi")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("shivam/wav2vec2-xls-r-300m-hindi") model = AutoModelForCTC.from_pretrained("shivam/wav2vec2-xls-r-300m-hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"labels": [" ", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "r", "s", "t", "u", "v", "w", "x", "y", "z", "\u0901", "\u0902", "\u0903", "\u0905", "\u0906", "\u0907", "\u0908", "\u0909", "\u090a", "\u090b", "\u090f", "\u0910", "\u0911", "\u0913", "\u0914", "\u0915", "\u0916", "\u0917", "\u0918", "\u091a", "\u091b", "\u091c", "\u091d", "\u091e", "\u091f", "\u0920", "\u0921", "\u0922", "\u0923", "\u0924", "\u0925", "\u0926", "\u0927", "\u0928", "\u092a", "\u092b", "\u092c", "\u092d", "\u092e", "\u092f", "\u0930", "\u0932", "\u0935", "\u0936", "\u0937", "\u0938", "\u0939", "\u093c", "\u093e", "\u093f", "\u0940", "\u0941", "\u0942", "\u0943", "\u0945", "\u0947", "\u0948", "\u0949", "\u094b", "\u094c", "\u094d", "\u0958", "\u095a", "\u095b", "\u095c", "\u095d", "\u0964", "\u2047", "", "<s>", "</s>"], "is_bpe": false} |