Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
JAX
Safetensors
whisper
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use openai/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openai/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openai/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openai/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("openai/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
Allow single quotes "'" and hyphens "-"
#3
by sanchit-gandhi - opened
- config.json +0 -2
config.json
CHANGED
|
@@ -50,12 +50,10 @@
|
|
| 50 |
"suppress_tokens": [
|
| 51 |
1,
|
| 52 |
2,
|
| 53 |
-
6,
|
| 54 |
7,
|
| 55 |
8,
|
| 56 |
9,
|
| 57 |
10,
|
| 58 |
-
12,
|
| 59 |
14,
|
| 60 |
25,
|
| 61 |
26,
|
|
|
|
| 50 |
"suppress_tokens": [
|
| 51 |
1,
|
| 52 |
2,
|
|
|
|
| 53 |
7,
|
| 54 |
8,
|
| 55 |
9,
|
| 56 |
10,
|
|
|
|
| 57 |
14,
|
| 58 |
25,
|
| 59 |
26,
|