BAAI

/

bge-m3

like 1.82k

Follow

Beijing Academy of Artificial Intelligence 1.33k

Hi, @redeve , you can use the following code to use onnx model:

model_ort = ORTModelForFeatureExtraction.from_pretrained('BAAI/bge-m3', from_transformers=True)
model_output_ort = model_ort(**encoded_input)

Hi, @redeve , you can use the following code to use onnx model:

model_ort = ORTModelForFeatureExtraction.from_pretrained('BAAI/bge-m3', from_transformers=True)
model_output_ort = model_ort(**encoded_input)

Thanks, I used the suggestions you gave and re-exported an onnx model data and it worked fine.

Hi, Thank you for the public model. I try to use onnx model, but I encountered the following error. If you can give me some suggestions, I will be grateful. Thanks.

example code
https://colab.research.google.com/drive/1ZpdIcRUIaXHx55VsCwHHVb3PuJ-uqEwz?usp=sharing

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-7-1b1b7a631d99> in <cell line: 18>()
     16 # encoded_input = tokenizer([instruction + q for q in queries], padding=True, truncation=True, return_tensors='pt')
     17 
---> 18 model_output_ort = model_ort(**encoded_input)
     19 # Compute token embeddings
     20 with torch.no_grad():

1 frames
/usr/local/lib/python3.10/dist-packages/optimum/onnxruntime/modeling_ort.py in forward(self, input_ids, attention_mask, token_type_ids, **kwargs)
   1009             outputs = self.model.run(None, onnx_inputs)
   1010 
-> 1011             last_hidden_state = outputs[self.output_names["last_hidden_state"]]
   1012             if use_torch:
   1013                 last_hidden_state = torch.from_numpy(last_hidden_state).to(self.device)

KeyError: 'last_hidden_state'

the model_ort.output_names is {'token_embeddings': 0, 'sentence_embedding': 1}

when i run your code,i get the following:
Framework not specified. Using pt to export the model.
Using the export variant default. Available variants are:
- default: The default ONNX variant.

***** Exporting submodel 1/1: XLMRobertaModel *****
Using framework PyTorch: 2.3.0+cu121
Overriding 1 configuration item(s)
- use_cache -> False
Saving external data to one file...
/tmp/tmprm5mpyzi
/tmp/tmprm5mpyzi
/tmp/tmprm5mpyzi

i do not know what "Saving external data to one file.." is for, and oddly enough,【/tmp/tmprm5mpyzi】 dosen't exist： No such file or directory。

Hi, @redeve , you can use the following code to use onnx model:

model_ort = ORTModelForFeatureExtraction.from_pretrained('BAAI/bge-m3', from_transformers=True)
model_output_ort = model_ort(**encoded_input)

Thanks, I used the suggestions you gave and re-exported an onnx model data and it worked fine.

this line of code will automatically search onnx directory and run with onnx format？