Instructions to use Imxxn/AudioCourseU4-MusicClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/AudioCourseU4-MusicClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Imxxn/AudioCourseU4-MusicClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Imxxn/AudioCourseU4-MusicClassification") model = AutoModelForAudioClassification.from_pretrained("Imxxn/AudioCourseU4-MusicClassification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 15
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 94783376
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc04c20edac697be2d050ebec0f64401abaf6ccfcbad10b0fc0c3933997d0a6a
|
| 3 |
size 94783376
|