Instructions to use hf-internal-testing/tiny-random-WhisperForAudioClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-WhisperForAudioClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hf-internal-testing/tiny-random-WhisperForAudioClassification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-WhisperForAudioClassification") model = AutoModelForAudioClassification.from_pretrained("hf-internal-testing/tiny-random-WhisperForAudioClassification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#10 opened about 1 year ago
by
SFconvertbot
[Awaiting approval] Upload ONNX weights
#9 opened about 2 years ago
by
Xenova
Update tiny models for WhisperForAudioClassification
#7 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for WhisperForAudioClassification
#6 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for WhisperForAudioClassification
#5 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for WhisperForAudioClassification
#4 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for WhisperForAudioClassification
#3 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for WhisperForAudioClassification
#2 opened about 3 years ago
by
hf-transformers-bot
Update tiny models for WhisperForAudioClassification
#1 opened about 3 years ago
by
hf-transformers-bot