Instructions to use onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external 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-ONNX_external 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-ONNX_external")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external") model = AutoModelForSpeechSeq2Seq.from_pretrained("onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model_merged.onnx from onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external: direct link, hf CLI and curl.
- Browser
- Download file 90.3 kB
-
https://huggingface.co/onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external/resolve/main/onnx/decoder_model_merged.onnx
- Command line
-
hf download hf://onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external/onnx/decoder_model_merged.onnx
-
curl -L -o decoder_model_merged.onnx https://huggingface.co/onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external/resolve/main/onnx/decoder_model_merged.onnx
90.3 kB
- Xet hash:
- d7f8a9c647659c832488bd44c91b517d146e177bf1d40e8248e1abebcd642d2b
- Size of remote file:
- 90.3 kB
- SHA256:
- 325919bb9d759086410380ecf3f146606d03bbd5878b34eab0eb3dbad9b0b0dc
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