Instructions to use panda199393/speech1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use panda199393/speech1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="panda199393/speech1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("panda199393/speech1") model = AutoModelForAudioClassification.from_pretrained("panda199393/speech1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload WhisperForAudioClassification
Verified signature547e4b8 -
Upload WhisperForAudioClassification
Verified signatureb1e9176 -
Upload WhisperForAudioClassification
Verified signaturedf1b5da
-
Upload ASTForAudioClassification
Verified signature8271b1c -
Upload ASTForAudioClassification
Verified signaturede92d00 -
Upload ASTForAudioClassification
Verified signature01354d2 -
Upload ASTForAudioClassification
Verified signature64e5a0a -
Upload ASTForAudioClassification
Verified signature4fa2b58 -
initial commit
Verified signature78cf2da