class_docstr: Torch implementation of CLIP from
  https://github.com/mlfoundations/open_clip.
  
  Args:
      config: a :class:`TorchOpenClipModelConfig`
class_docstr_tok: ["Torch","implementation","of","CLIP","from","https",":","\/\/github.com\/mlfoundations\/open_clip",".","Args",":","config",":","a",":","class",":","`","TorchOpenClipModelConfig","`"]
docstr: Generates an embedding for the given text prompt.
  
  Args:
      prompt: a text string
  
  Returns:
      a numpy vector
docstr_tok: ["Generates","an","embedding","for","the","given","text","prompt",".","Args",":","prompt",":","a","text","string","Returns",":","a","numpy","vector"]
code: def embed_prompt(self, prompt):
      """Generates an embedding for the given text prompt.
  
      Args:
          prompt: a text string
  
      Returns:
          a numpy vector
      """
      return self.embed_prompts([prompt])[0]
  
imports: import logging
  import fiftyone.core.models
  import fiftyone.core.utils
  import fiftyone.utils.torch
  import fiftyone.zoo.models
  import torch
label_desc: Use image node_id 3 for calling the TorchOpenClipModel obj's underlying member method code with example usage: obj.embed_prompt(prompt) and returns: self