Instructions to use mrhacker7599/wav2vec2-base-superb-er with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrhacker7599/wav2vec2-base-superb-er with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="mrhacker7599/wav2vec2-base-superb-er")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("mrhacker7599/wav2vec2-base-superb-er") model = AutoModelForAudioClassification.from_pretrained("mrhacker7599/wav2vec2-base-superb-er", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:99bfb2c3a12e28de1850b3c5b3fb047be292de2f2a1f266b44ab8e074a8b8709
|
| 3 |
+
size 378304492
|