Instructions to use tomasolo/hubert_audio_classification_tomasolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tomasolo/hubert_audio_classification_tomasolo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="tomasolo/hubert_audio_classification_tomasolo")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("tomasolo/hubert_audio_classification_tomasolo") model = AutoModelForAudioClassification.from_pretrained("tomasolo/hubert_audio_classification_tomasolo") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 8
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378358249
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2e3e9ff0783fb1eaa64744ed95bffca9af106cb3b44819aa7729eb0a577067b4
|
| 3 |
size 378358249
|
runs/Aug05_11-56-37_b10397ea3c0b/events.out.tfevents.1691236600.b10397ea3c0b.7319.1
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:b6fdd46f76b975cc74dec4df2e3137a19eaa49bc2d25b00da3c8558f961f4af1
|
| 3 |
+
size 8458
|