Instructions to use Drigoro/audio_wav2vec_largeRobust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Drigoro/audio_wav2vec_largeRobust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Drigoro/audio_wav2vec_largeRobust")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Drigoro/audio_wav2vec_largeRobust") model = AutoModelForAudioClassification.from_pretrained("Drigoro/audio_wav2vec_largeRobust", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 658220576
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f283eb59db5688c2dcd5197f2300712e278fbbd201df389252200419c696f45e
|
| 3 |
size 658220576
|
runs/Jun19_09-12-40_b1cc60cc1763/events.out.tfevents.1718788361.b1cc60cc1763.1991.1
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:fe1f24f61a6461d4b7489ce8673591827573aff1b41051946914a4df0c9b5fd7
|
| 3 |
+
size 8277
|