Automatic Speech Recognition
Transformers
Safetensors
English
asr_model
feature-extraction
speech
audio
asr
speech-to-text
whisper
tiny-audio
custom_code
Instructions to use mrbeniwal/tiny-audio-training-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrbeniwal/tiny-audio-training-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mrbeniwal/tiny-audio-training-small", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mrbeniwal/tiny-audio-training-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| { | |
| "content": "<audio>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| ], | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<|finetune_right_pad_id|>" | |
| } | |