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")
https://huggingface.co/onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external/resolve/main/tokenizer.json
hf download hf://onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/onnx-internal-testing/tiny-random-WhisperForConditionalGeneration-ONNX_external/resolve/main/tokenizer.json
