Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
asr
speech-recognition
fine-tuned
bengali
audio
Instructions to use Noobbbbb/whisper-tiny-bn-custom-spm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Noobbbbb/whisper-tiny-bn-custom-spm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Noobbbbb/whisper-tiny-bn-custom-spm")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Noobbbbb/whisper-tiny-bn-custom-spm") model = AutoModelForSpeechSeq2Seq.from_pretrained("Noobbbbb/whisper-tiny-bn-custom-spm") - Notebooks
- Google Colab
- Kaggle
| { | |
| "added_tokens_decoder": { | |
| "4": { | |
| "content": "<|startoftranscript|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "5": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "backend": "custom", | |
| "bos_token": "<|startoftranscript|>", | |
| "eos_token": "<|endoftext|>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<|endoftext|>", | |
| "processor_class": "WhisperProcessor", | |
| "tokenizer_class": "BanglaSPTokenizer", | |
| "unk_token": "<|endoftext|>" | |
| } | |