Instructions to use cloudwalkerw/wavlm-base_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudwalkerw/wavlm-base_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="cloudwalkerw/wavlm-base_2")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("cloudwalkerw/wavlm-base_2") model = AutoModelForAudioClassification.from_pretrained("cloudwalkerw/wavlm-base_2") - Notebooks
- Google Colab
- Kaggle
Commit ·
2665bfe
1
Parent(s): 06b0a2c
Training in progress, step 19700
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 378402813
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:995961f9d5cb977c9ec869867645f4ac07038cef7e8b59e6859ef5501c21181e
|
| 3 |
size 378402813
|