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
File size: 502 Bytes
8c286c1 | 1 | {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "[UNK]", "pad_token": "[PAD]", "additional_special_tokens": [{"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}]} |