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 7
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 sha256:140d502187c8dee416cfdb7c424e83614647c5fc5f2411ee1fa62427f8c38ac3
|
| 3 |
size 378358633
|
runs/Aug22_04-39-50_f4bc2ecede00/events.out.tfevents.1692679193.f4bc2ecede00.624.9
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:c358f1e21e70e438a6dfa0ff0463146972ce6973cf86916a4ce3836247105fb6
|
| 3 |
+
size 9952
|