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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/decoder_model_merged_fp16.onnx from onnx-internal-testing/tiny-random-WhisperForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 1.78 MB
-
https://huggingface.co/onnx-internal-testing/tiny-random-WhisperForConditionalGeneration/resolve/main/onnx/decoder_model_merged_fp16.onnx
- Command line
-
hf download hf://onnx-internal-testing/tiny-random-WhisperForConditionalGeneration/onnx/decoder_model_merged_fp16.onnx
-
curl -L -o decoder_model_merged_fp16.onnx https://huggingface.co/onnx-internal-testing/tiny-random-WhisperForConditionalGeneration/resolve/main/onnx/decoder_model_merged_fp16.onnx
1.78 MB
- Xet hash:
- 39938cc04a05b22292ae8024d7c03b604bf320c9926144b4a640b368942d0225
- Size of remote file:
- 1.78 MB
- SHA256:
- e4b549531dac321cd4c6c202d79548d8ecfa77bcec42b8d6936c09ae6e118501
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