Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Polish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use bardsai/whisper-small-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/whisper-small-pl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bardsai/whisper-small-pl")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bardsai/whisper-small-pl") model = AutoModelForSpeechSeq2Seq.from_pretrained("bardsai/whisper-small-pl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update metadata with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -65,6 +65,9 @@ model-index:
|
|
| 65 |
- type: wer
|
| 66 |
value: 16.79
|
| 67 |
name: WER
|
|
|
|
|
|
|
|
|
|
| 68 |
---
|
| 69 |
|
| 70 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 65 |
- type: wer
|
| 66 |
value: 16.79
|
| 67 |
name: WER
|
| 68 |
+
- type: wer_without_norm
|
| 69 |
+
value: 35.69
|
| 70 |
+
name: WER unnormalized
|
| 71 |
---
|
| 72 |
|
| 73 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|