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whisper-base-onnx-int4-inc

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>>>
>>> from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
>>>
>>> processor = AutoProcessor.from_pretrained("Intel/whisper-base-onnx-int4")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Intel/whisper-base-onnx-int4")
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
>>> model = AutoModelForSpeechSeq2Seq.from_pretrained("Intel/whisper-base-onnx-int4")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "python3.11/site-packages/transformers/models/auto/auto_factory.py", line 565, in from_pretrained
    return model_class.from_pretrained(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "python3.11/site-packages/transformers/modeling_utils.py", line 2972, in from_pretrained
    raise EnvironmentError(
OSError: Intel/whisper-base-onnx-int4 does not appear to have a file named pytorch_model.bin, tf_model.h5, model.ckpt or flax_model.msgpack.