Audio Classification
Transformers
English
whisper-segmenter
audio
segmentation
vocal-burst
whisper
speech
sound-event-detection
Instructions to use laion/vocalburst-locator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use laion/vocalburst-locator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="laion/vocalburst-locator")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("laion/vocalburst-locator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add model_v2_mixed.pt: v1 soundscapes + DramaBox, synthetic-domain F1 0.513 -> 0.727 at no real-audio cost
Browse files- model_v2_mixed.pt +3 -0
model_v2_mixed.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a90535c48d6225f812f297abde3f82243c040bfc617163bf0a866776e84d400
|
| 3 |
+
size 972439734
|