Instructions to use nomsgadded/Audio_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nomsgadded/Audio_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="nomsgadded/Audio_Classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("nomsgadded/Audio_Classification") model = AutoModelForAudioClassification.from_pretrained("nomsgadded/Audio_Classification") - Notebooks
- Google Colab
- Kaggle
Commit ·
245fcd8
1
Parent(s): 1ad9a4e
Training in progress, step 4200
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378312648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:105339d4b7e1a0bb88f7dafef2cc91630d52a87c37d78778c5520e1ba173351c
|
| 3 |
size 378312648
|