Instructions to use Ammok/my_audio_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ammok/my_audio_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Ammok/my_audio_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Ammok/my_audio_model") model = AutoModelForAudioClassification.from_pretrained("Ammok/my_audio_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 9
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378358633
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f5dbda4bc064eb14035b874531f1ace790febd497019624aaeeb9476ca81793c
|
| 3 |
size 378358633
|
runs/Aug22_04-48-01_f4bc2ecede00/events.out.tfevents.1692679686.f4bc2ecede00.624.10
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:c0a93c0a32e84619e9919d21d24af6f37049868278f6995ec5e129d5901e5f0e
|
| 3 |
+
size 11057
|