Instructions to use cahya/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/wav2vec2-base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("cahya/wav2vec2-base") model = AutoModelForPreTraining.from_pretrained("cahya/wav2vec2-base") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
1693c8d
1
Parent(s): 76e4566
allow flax
Browse files- .gitattributes +1 -0
.gitattributes
CHANGED
|
@@ -14,3 +14,4 @@
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 14 |
*.pb filter=lfs diff=lfs merge=lfs -text
|
| 15 |
*.pt filter=lfs diff=lfs merge=lfs -text
|
| 16 |
*.pth filter=lfs diff=lfs merge=lfs -text
|
| 17 |
+
*.msgpack filter=lfs diff=lfs merge=lfs -text
|