9dc8aea1cb
This commit adds support for MPNet based models.
MPNet models differ from BERT style models in that:
- Special tokens are different
- Input to the model doesn't require token positions.
To configure an MPNet tokenizer for your pytorch MPNet based model:
```
"tokenization": {
"mpnet": {...}
}
```
The options provided to `mpnet` are the same as the previously supported `bert` configuration.
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| .. | ||
| delete-trained-models-aliases.asciidoc | ||
| delete-trained-models.asciidoc | ||
| get-trained-models-stats.asciidoc | ||
| get-trained-models.asciidoc | ||
| index.asciidoc | ||
| infer-trained-model-deployment.asciidoc | ||
| ml-trained-models-apis.asciidoc | ||
| put-trained-model-definition-part.asciidoc | ||
| put-trained-model-vocabulary.asciidoc | ||
| put-trained-models-aliases.asciidoc | ||
| put-trained-models.asciidoc | ||
| start-trained-model-deployment.asciidoc | ||
| stop-trained-model-deployment.asciidoc | ||