Instructions to use anderloh/wav2vec2-2ClassMediumValidateMobil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anderloh/wav2vec2-2ClassMediumValidateMobil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="anderloh/wav2vec2-2ClassMediumValidateMobil")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("anderloh/wav2vec2-2ClassMediumValidateMobil") model = AutoModelForAudioClassification.from_pretrained("anderloh/wav2vec2-2ClassMediumValidateMobil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 124
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 sha256:7a7591956e9ea6eb77a9a2215eb3ceac7cd04fe2d58ede5ae4bbb4c0c8fd87d7
|
| 3 |
size 52149800
|
runs/Jul13_15-31-39_ml6.hpc.uio.no/events.out.tfevents.1720877523.ml6.hpc.uio.no.4030589.0
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 sha256:131f2ec769bee0442f3c5f2787543fe3b45d4df240035a49cee69dee23a656e5
|
| 3 |
+
size 46448
|