Instructions to use firdhokk/speech-emotion-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use firdhokk/speech-emotion-recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="firdhokk/speech-emotion-recognition")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("firdhokk/speech-emotion-recognition") model = AutoModelForAudioClassification.from_pretrained("firdhokk/speech-emotion-recognition") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1262864444
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:242ecd71d7b9666075edcda42f0a05309976f5c6312caedb104e77ab9d1b3690
|
| 3 |
size 1262864444
|
runs/Feb13_05-53-49_d7bbc11c7f0e/events.out.tfevents.1707803630.d7bbc11c7f0e.782.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e59f275da4bf1c99c60a3134fefe258a50ab1e53fb4ff1e13eb189d291d3713f
|
| 3 |
+
size 44927
|