Instructions to use TisNam/emo_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TisNam/emo_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="TisNam/emo_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("TisNam/emo_model") model = AutoModelForAudioClassification.from_pretrained("TisNam/emo_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262863416
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf12f33c563597dddedbf728215ee65b5d2f94e4065336c947a1f6b18fdc7cb3
|
| 3 |
size 1262863416
|