Instructions to use meetyildiz/classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use meetyildiz/classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="meetyildiz/classification_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("meetyildiz/classification_model") model = AutoModelForAudioClassification.from_pretrained("meetyildiz/classification_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
c5c50bd
1
Parent(s): d5df931
Training in progress, epoch 1
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378359721
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87b0b9025556ee9b05c28a19a542b385fbf510bd2544bc0628fbd02c98b160a8
|
| 3 |
size 378359721
|
runs/Feb28_23-30-15_MacBook-Pro.home/events.out.tfevents.1677616674.MacBook-Pro.home.69368.0
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 sha256:10463f1f947ff9aa9a68cc6d4d3bbb0e641bd1cfe239d2509115797e10b272ff
|
| 3 |
+
size 6850
|