Audio Classification
Transformers
PyTorch
TensorBoard
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use AK-12/my_awesome_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AK-12/my_awesome_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="AK-12/my_awesome_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("AK-12/my_awesome_model") model = AutoModelForAudioClassification.from_pretrained("AK-12/my_awesome_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 6
Browse files
runs/Jul27_11-01-29_c7a20ed3dc22/events.out.tfevents.1690455692.c7a20ed3dc22.3485.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e7fa1672c9e333910d7f3508567d8f7476b1289b185edd08e9e98bb5fba0ab3
|
| 3 |
+
size 8223
|