Instructions to use mbien/fma2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbien/fma2vec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="mbien/fma2vec")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("mbien/fma2vec") model = AutoModel.from_pretrained("mbien/fma2vec") - Notebooks
- Google Colab
- Kaggle
Patrick von Platen commited on
Commit ·
574966a
1
Parent(s): 95c9d02
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
|