Instructions to use HyunaZ/hubert_emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HyunaZ/hubert_emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="HyunaZ/hubert_emotion")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HyunaZ/hubert_emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
HyunaJ commited on
Commit ·
5eb9cbf
1
Parent(s): 91210ce
upload checkpoint
Browse files
fold_idx=11_epoch=28-val_acc_label2=0.4819.ckpt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cdb10f6b9d3c85c5a99a333096eed491707046f03a8d539624e48b5c4d9a244e
|
| 3 |
+
size 454031874
|