BERT Model Selector

The node allows to select a model from TensorFlow Hub or HuggingFace. The trusted models are added to the lists. For HuggingFace it is possible to paste the model name into the selector. In case you would like to test other models please refer to Advanced tab. The model can be cached on a disk.

Options

Settings

Allows to select the model from either TensorFlow Hub or HuggingFace. In case of HuggingFace it is also possible to only display models for zero-shot classification.

Select Model

Model selection from the chosen model provider (TensorFlow Hub or HuggingFace).

Cache directory

A path where the models will be stored for further usage.

Remote URL

An arbitrary link to a model. Use with caution since there is no guarantee that the model will be compatible with the node. Only active when Advanced tab checkbox is active. This feature is experimental, use with discretion.

Local folder

A path to the local model that was downloaded not by this node. Only active when Advanced tab checkbox is active. This feature is experimental, use with discretion.

Advanced

Enable Remote URL and Local path selection modes

Enable Remote URL and Local path selection modes - an experimental feature that makes it possible to pick any model from a remote or local source. There is no guarantee that the models will be compatible with the BERT extension.

Python

Python

Select one of the Python execution environment options:

• use default Python environment for the Redfield BERT Nodes (can be configured on the preference page)
• use Conda environment from a Conda flow variable (only selectable if such a flow variable is available)

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Workflows

• 09 Classification III - solutionKNIME Hub
• 09 Classification III - solutionKNIME Hub
• 09 Classification III - solutionKNIME Hub
• 09 Classification III - solutionKNIME Hub
• 09 Classification III - solutionKNIME Hub
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