delete_transformer

Large language models can be quite large and, when stored locally,
can take up a lot of space on your computer. The direct paths to where the
models are on your computer is not necessarily intuitive.
This function quickly identifies the models on your computer and
informs you which ones can be deleted from it to open up storage space

Implements sentiment analysis using huggingface <https://huggingface.co> transformer zero-shot classification model pipelines for text and image data. The default text pipeline is Cross-Encoder's DistilRoBERTa <https://huggingface.co/cross-encoder/nli-distilroberta-base> and default image/video pipeline is Open AI's CLIP <https://huggingface.co/openai/clip-vit-base-patch32>. All other zero-shot classification model pipelines can be implemented using their model name from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>.

Aleksandar Tomašević

transforEmotion

Sentiment Analysis for Text, Image and Video using Transformer
Models

Alexander Christensen

Hudson Golino

delete_transformer function

<dl><dt>model_name</dt>
<dd>Character vector.
If no model is provided, then a list of models that are locally stored on the
computer are printed</dd>
<dt>delete</dt>
<dd>Boolean (length = 1).
Should model skip delete question?
Defaults to <code>FALSE</code>.
Set to <code>TRUE</code> for less interactive deletion</dd></dl>

Arguments

Alexander P. Christensen &lt;alexpaulchristensen@gmail.com&gt;

Author

Delete a Transformer Model — delete_transformer

<dl>

<dt>model_name</dt>
<dd>Character vector.
If no model is provided, then a list of models that are locally stored on the
computer are printed</dd>


<dt>delete</dt>
<dd>Boolean (length = 1).
Should model skip delete question?
Defaults to <code>FALSE</code>.
Set to <code>TRUE</code> for less interactive deletion</dd>

</dl>

delete_transformer: Delete a Transformer Model

Description

Usage

Value

Arguments

Author

Examples