Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Malay
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Scrya/whisper-medium-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Scrya/whisper-medium-ms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Scrya/whisper-medium-ms")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Scrya/whisper-medium-ms") model = AutoModelForSpeechSeq2Seq.from_pretrained("Scrya/whisper-medium-ms") - Notebooks
- Google Colab
- Kaggle
Update metadata with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -22,6 +22,9 @@ model-index:
|
|
| 22 |
- type: wer
|
| 23 |
value: 11.75
|
| 24 |
name: WER
|
|
|
|
|
|
|
|
|
|
| 25 |
---
|
| 26 |
|
| 27 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 22 |
- type: wer
|
| 23 |
value: 11.75
|
| 24 |
name: WER
|
| 25 |
+
- type: cer
|
| 26 |
+
value: 3.49
|
| 27 |
+
name: CER
|
| 28 |
---
|
| 29 |
|
| 30 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|