Audio Classification
Transformers
PyTorch
TensorBoard
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use anderloh/testV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/testV4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/testV4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/testV4") model = AutoModelForAudioClassification.from_pretrained("anderloh/testV4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 117
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 52182770
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc4b637655cca4f27db8cd960f592237b47d3dc4be210360e9ae9b41bbd09fd5
|
| 3 |
size 52182770
|
runs/Jun21_12-13-19_ml6.hpc.uio.no/events.out.tfevents.1718964816.ml6.hpc.uio.no.8934.0
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:c9d9ce2878a480a91e0b70c07f8443a067e9f9b449e89f339944627d6034dff2
|
| 3 |
+
size 44928
|