Audio Classification
Transformers
Safetensors
multilingual
wav2vec2-dual-hypersphere
audio-deepfake
deepfake-detection
deepfake
SoTA
Modotte
custom_code
Instructions to use Modotte/AIRealNet-Audio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Modotte/AIRealNet-Audio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Modotte/AIRealNet-Audio", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForAudioClassification model = AutoModelForAudioClassification.from_pretrained("Modotte/AIRealNet-Audio", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -9,17 +9,6 @@ tags:
|
|
| 9 |
- audio-deepfake
|
| 10 |
- deepfake-detection
|
| 11 |
- deepfake
|
| 12 |
-
- voice-cloning
|
| 13 |
-
- anti-spoofing
|
| 14 |
-
- asvspoof
|
| 15 |
-
- wav2vec2
|
| 16 |
-
- speech
|
| 17 |
-
- audio
|
| 18 |
-
- synthetic-voice
|
| 19 |
-
- voice-conversion
|
| 20 |
-
- tts-detection
|
| 21 |
-
- trust-and-safety
|
| 22 |
-
- security
|
| 23 |
- SoTA
|
| 24 |
- Modotte
|
| 25 |
|
|
|
|
| 9 |
- audio-deepfake
|
| 10 |
- deepfake-detection
|
| 11 |
- deepfake
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
- SoTA
|
| 13 |
- Modotte
|
| 14 |
|