Instructions to use Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("Apurba-NSU-RnD-Lab/MenoChat_Whisper_Small") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "is_local": true, | |
| "language": null, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "predict_timestamps": false, | |
| "processor_class": "WhisperProcessor", | |
| "task": null, | |
| "tokenizer_class": "WhisperTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |