Instructions to use anderloh/wav2vec2-2ClassEasyValidateMobil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/wav2vec2-2ClassEasyValidateMobil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/wav2vec2-2ClassEasyValidateMobil")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/wav2vec2-2ClassEasyValidateMobil") model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec2-2ClassEasyValidateMobil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 114
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 52149800
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eca1fcacf593497e2f0dfee49b8ba64ca44b733a89632ca446f9532294f5dbaf
|
| 3 |
size 52149800
|
runs/Jul13_14-15-08_ml6.hpc.uio.no/events.out.tfevents.1720872936.ml6.hpc.uio.no.3988389.0
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 sha256:51ae50d938aa1f7557d0cb87a53972d36347214d2593863f588a9844c0da99f0
|
| 3 |
+
size 43523
|