Instructions to use antonjaragon/emotions_xls53_6_classes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antonjaragon/emotions_xls53_6_classes with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="antonjaragon/emotions_xls53_6_classes")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("antonjaragon/emotions_xls53_6_classes") model = AutoModelForAudioClassification.from_pretrained("antonjaragon/emotions_xls53_6_classes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
c46bf52
1
Parent(s): c4f1fa3
Training in progress, epoch 2
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 1262958261
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2865e631c19a43fab407c1aaaced17d85907bae41b3c79e3fa3aa78cef0f9a6a
|
| 3 |
size 1262958261
|