Instructions to use BuzzASR/sindhi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BuzzASR/sindhi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BuzzASR/sindhi")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("BuzzASR/sindhi") model = AutoModelForSpeechSeq2Seq.from_pretrained("BuzzASR/sindhi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "begin_suppress_tokens": [ | |
| 220, | |
| 50257 | |
| ], | |
| "bos_token_id": 51865, | |
| "decoder_start_token_id": 51866, | |
| "eos_token_id": 51865, | |
| "lang_to_id": { | |
| "<|sd|>": 51940 | |
| }, | |
| "language": "sd", | |
| "max_length": 448, | |
| "no_timestamps_token_id": 51972, | |
| "pad_token_id": 51865, | |
| "suppress_tokens": [], | |
| "task": "transcribe", | |
| "task_to_id": { | |
| "transcribe": 51968, | |
| "translate": 51967 | |
| }, | |
| "transformers_version": "4.57.6" | |
| } | |