Instructions to use onnx-internal-testing/tiny-random-GraniteSpeechForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use onnx-internal-testing/tiny-random-GraniteSpeechForConditionalGeneration 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-GraniteSpeechForConditionalGeneration")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("onnx-internal-testing/tiny-random-GraniteSpeechForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("onnx-internal-testing/tiny-random-GraniteSpeechForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update processor_config.json
Verified signature73332fe -
Update preprocessor_config.json
Verified signature774f713 -
Update processor_config.json
Verified signature2c6f3e4 -
Upload optimized ONNX model (#4)
- Upload optimized ONNX model (0b4953bfdea64bef3c8ca3d13c62337e5a23ada9)4718e8c -
Update preprocessor_config.json
Verified signatured5090b3 -
Update processor_config.json
Verified signaturec820420 -
Update processor_config.json
Verified signature7608a81 -
Upload optimized ONNX model (#2)
- Upload optimized ONNX model (2be86878a25fa81c457e6b166d92e783763e3dcf)f9b148c -
Update processor_config.json
Verified signature5f3a4cf -
Update preprocessor_config.json
Verified signature08cefe3 -
Update config.json
Verified signaturea820828 -
Upload 6 files
Verified signature35b5a66 -
Upload 6 files
Verified signature0e76317 -
Upload GraniteSpeechForConditionalGeneration
Verified signaturee63b833 -
initial commit
Verified signaturebdd1cc8