Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Finnish
whisper
whisper-medium
mozilla-foundation/common_voice_11_0
Finnish
whisper-event
Instructions to use RASMUS/whisper-medium-fi-15k_samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RASMUS/whisper-medium-fi-15k_samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="RASMUS/whisper-medium-fi-15k_samples")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("RASMUS/whisper-medium-fi-15k_samples") model = AutoModelForSpeechSeq2Seq.from_pretrained("RASMUS/whisper-medium-fi-15k_samples") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,7 @@ language: fi
|
|
| 3 |
tags:
|
| 4 |
- whisper-medium
|
| 5 |
- mozilla-foundation/common_voice_11_0
|
| 6 |
-
-
|
| 7 |
- whisper-event
|
| 8 |
metrics: wer
|
| 9 |
license: creativeml-openrail-m
|
|
|
|
| 3 |
tags:
|
| 4 |
- whisper-medium
|
| 5 |
- mozilla-foundation/common_voice_11_0
|
| 6 |
+
- Finnish
|
| 7 |
- whisper-event
|
| 8 |
metrics: wer
|
| 9 |
license: creativeml-openrail-m
|