Comments (2)
Hi @sujit420,
Currently TAPAS models are not supported for the export to the ONNX format, here is the list of the supported architectures. If you wish to export a model whose architecture is not natively supported, here are the three main steps to follow.
The feature you select enables you to export your model to the ONNX format for a given topology. You can find here the list of the features you can use.
from optimum.
Hi @sujit420 would love to see if you managed to implement the ONNX conversion for TAPAS. If yes it could be awesome to add it to Transformers lib. I could help to do so!
from optimum.
Related Issues (20)
- [BUG] Mistral feature extraction export to ONNX is broken HOT 5
- [BUG] Mistral feature extraction export to ONNX is broken
- [BUG] Cannot export Gemma/Mistral to ONNX/TensorRT using INT8 HOT 9
- Cannot download ONNX external data file from Hugging Face Hub HOT 4
- Cannot download from private repository on Hugging Face using optimum 1.17 HOT 3
- onnx model issue for zeroshot facebook/bart-large-mnli HOT 1
- Mixtral-8x7B-Instruct-v0.1-GPTQ AssertionError HOT 6
- OnnxSlim support
- NoSuchFile: [ONNXRuntimeError] : 3 : NO_SUCHFILE : Load model from data/data_onnx/model.onnx failed:Load model data/data_onnx/model.onnx failed. File doesn't exist HOT 1
- The exported ONNX model of Qwen/Qwen1.5-0.5B-Chat does not produce a cache-enabled model. HOT 3
- Training fails because of accelerate configure settings. HOT 1
- Llava ONNX export HOT 1
- Documentation for exporting openai/whisper-large-v3 to ONNX HOT 10
- How to tell whether the backend of ONNXRuntime accelerator is Intel VINO. HOT 2
- ONNX conversion of google/gemma-2b-it logits values are very different HOT 9
- Performance with ORTModelForSequenceClassification is worse than with the original model HOT 3
- Missing `token_type_ids` when different tokenizer and model
- ORTOptimizer for the model type table-transformer HOT 5
- List index out of range when trying to export with openvino
- Accuracy change with BetterTransformer HOT 6
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from optimum.