Automatic Speech Recognition
Transformers
Safetensors
Finnish
wav2vec2
finnish
Eval Results (legacy)
Instructions to use GetmanY1/wav2vec2-base-fi-150k-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GetmanY1/wav2vec2-base-fi-150k-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GetmanY1/wav2vec2-base-fi-150k-finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GetmanY1/wav2vec2-base-fi-150k-finetuned") model = AutoModelForCTC.from_pretrained("GetmanY1/wav2vec2-base-fi-150k-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -44,7 +44,7 @@ model-index:
|
|
| 44 |
value: 14.95
|
| 45 |
- name: Dev16 CER
|
| 46 |
type: cer
|
| 47 |
-
value: 5.
|
| 48 |
- name: Test16 WER
|
| 49 |
type: wer
|
| 50 |
value: 10.92
|
|
|
|
| 44 |
value: 14.95
|
| 45 |
- name: Dev16 CER
|
| 46 |
type: cer
|
| 47 |
+
value: 5.2
|
| 48 |
- name: Test16 WER
|
| 49 |
type: wer
|
| 50 |
value: 10.92
|