Audio Classification
Transformers
PyTorch
Safetensors
Russian
wav2vec2
emotion-recognition
speech-emotion-recognition
audio
speech
russian
Eval Results (legacy)
Instructions to use Aniemore/wav2vec2-emotion-russian-resd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aniemore/wav2vec2-emotion-russian-resd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Aniemore/wav2vec2-emotion-russian-resd")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Aniemore/wav2vec2-emotion-russian-resd") model = AutoModelForAudioClassification.from_pretrained("Aniemore/wav2vec2-emotion-russian-resd", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
722cdaf
1
Parent(s): 20c7877
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (b9f2948c1891de1a13bb36b8f7447dab2d099d0d)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9168e14378d37af83d2a65b47c9bc9d946298cb02114a188483439898b76fdf3
|
| 3 |
+
size 1266034706
|