Comments (1)
@MrRace is it solved? I'm facing the same issue, can you share how did you solve it?
from optimum.
Related Issues (20)
- Static Quantization for Seq2Seq models like T5
- OPT6.7b ONNX model not giving accurate results on CPU
- Add support for grounding-dino model type
- The Whisper large-v3 model exported to ONNX does not return the end timestamp for the last chunk
- no attribute '_TASKS_TO_AUTOMODELS' error
- gemma-2b static quantized, generate text makes no sense
- ai21labs/Jamba-tiny-random support
- how to change optimum temporary path ? HOT 1
- Support for Meta LLaMA 3 with ORTModelForCausalLM for Faster Inference HOT 1
- trOCR in onnx format does not read full text
- trOCR in onnx format does not read full text HOT 2
- Improve inference time TrOCR
- circular dependency issue HOT 1
- `Graph Output Error` when loading optimizing model after running `optimizer.optimize`
- ONNX converted Whisper model takes more than twice the VRAM of the torch version
- Support for Starcoder2 with ORTModelForCausalLM for Faster Inference
- Add LLava ONNX export has a problem HOT 1
- Unable to generate question-answering model for Llama and there is also no list of what are the supported models for question-answering
- Not able to export a transformer model to onxx (SJ-Ray/Re-Punctuate)
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from optimum.