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 102
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:de983204ee8a7541a61a6ccf185d9565805613e28198946c445031af1468c31d
|
| 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 sha256:2271b092edf61a4abd36ec489b07c9370d939d448c27300aee335ecbd543de8d
|
| 3 |
+
size 39665
|