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jina-embeddings-v3

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This PR:

• Uses external data format to save model (so we don't need the individual tensors)
• Adds fp16 version
• Slims model.onnx using onnxslim for a more optimized graph

+--------------------+------------------------------------------+------------------------------------------+
|     Model Name     |                model.onnx                |                Op Set: 16                |
+--------------------+------------------------------------------+------------------------------------------+
|     Model Info     |              Original Model              |              Slimmed Model               |
+--------------------+------------------------------------------+------------------------------------------+
|   IN: input_ids    | int64: ('batch_size', 'sequence_length') | int64: ('batch_size', 'sequence_length') |
| IN: attention_mask | int64: ('batch_size', 'sequence_length') | int64: ('batch_size', 'sequence_length') |
|    IN: task_id     |               int64: None                |               int64: None                |
|  OUT: text_embeds  |         float32: ('batch_size',          |         float32: ('batch_size',          |
|                    |      'Addtext_embeds_dim_1', 1024)       |         'sequence_length', 1024)         |
|     OUT: 13049     |      float32: ('batch_size', 1024)       |      float32: ('batch_size', 1024)       |
+--------------------+------------------------------------------+------------------------------------------+
|        Add         |                   486                    |                   438                    |
|        Cast        |                   529                    |                    1                     |
|       Concat       |                   481                    |                   216                    |
|      Constant      |                   4047                   |                    0                     |
|  ConstantOfShape   |                   121                    |                    25                    |
|        Div         |                   337                    |                   121                    |
|       Einsum       |                    48                    |                    48                    |
|       Equal        |                    96                    |                    0                     |
|        Erf         |                    24                    |                    24                    |
|       Expand       |                    96                    |                    96                    |
|       Gather       |                   826                    |                   514                    |
|        Gemm        |                    1                     |                    1                     |
|       MatMul       |                   195                    |                   195                    |
|        Mul         |                   748                    |                   316                    |
|        Neg         |                    48                    |                    48                    |
|        Pow         |                    49                    |                    49                    |
|     ReduceMean     |                    98                    |                    98                    |
|      Reshape       |                   435                    |                   363                    |
|       Shape        |                   553                    |                   145                    |
|       Slice        |                   288                    |                   288                    |
|      Softmax       |                    24                    |                    24                    |
|       Split        |                    24                    |                    24                    |
|        Sqrt        |                    49                    |                    49                    |
|      Squeeze       |                    72                    |                    72                    |
|        Sub         |                    49                    |                    49                    |
|        Tanh        |                    1                     |                    1                     |
|     Transpose      |                    96                    |                    96                    |
|     Unsqueeze      |                   1057                   |                   409                    |
|       Where        |                   120                    |                    24                    |
+--------------------+------------------------------------------+------------------------------------------+
|     Model Size     |                 2.14 GB                  |            1.44 MB (2.14 GB)             |
+--------------------+------------------------------------------+------------------------------------------+
|    Elapsed Time    |                                       33.37 s                                       |
+--------------------+------------------------------------------+------------------------------------------+

Hi @Xenova , thanks for your contribution!

Does the usage of the ONNX model change with this new format? We have an example in the README, so please update it if necessary. Also, how did you combine the external data into a single file? Could you please share the conversion code? I'd like to apply the same process to https://huggingface.co/jinaai/jina-colbert-v2