Instructions to use onnx-internal-testing/tiny-random-WhisperForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onnx-internal-testing/tiny-random-WhisperForConditionalGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="onnx-internal-testing/tiny-random-WhisperForConditionalGeneration")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("onnx-internal-testing/tiny-random-WhisperForConditionalGeneration") model = AutoModelForSpeechSeq2Seq.from_pretrained("onnx-internal-testing/tiny-random-WhisperForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 3.41 MB xet
- 3.4 MB xet
- 1.73 MB xet
- 4.22 MB xet
- 3.45 MB xet
- 3.44 MB xet
- 1.78 MB xet
- 4.27 MB xet
- 3.44 MB xet
- 1.77 MB xet
- 4.27 MB xet
- 4.27 MB xet
- 3.4 MB xet
- 1.72 MB xet
- 4.22 MB xet
- 4.22 MB xet
- 3.4 MB xet
- 3.39 MB xet
- 1.72 MB xet
- 4.21 MB xet
- 3.39 MB xet
- 1.72 MB xet
- 4.21 MB xet
- 4.21 MB xet
- 143 kB xet
- 134 kB xet
- 79.7 kB xet
- 128 kB xet
- 135 kB xet
- 77.3 kB xet
- 128 kB xet
- 128 kB xet