class_docstr: Integration with the spaCy NLP library.
class_docstr_tok: ["Integration","with","the","spaCy","NLP","library","."]
code: def create(
      self,
      target: str,
      df: Optional[pd.DataFrame] = None,
      args: Optional[dict] = None,
  ) -> None:
      model_args = args["using"]
      model_args["target"] = target
  
      if not args.get("linguistic_feature"):
          args["linguistic_feature"] = self.default_linguistic_feature
  
      # Loading the model
      nlp = spacy.load("en_core_web_sm")
  
      # Serialize the model
      bytes_data = nlp.to_bytes()
  
      # Save the serialized model and its config and model_args to the model storage
      self.model_storage.file_set("model_data", bytes_data)
      self.model_storage.json_set("model_args", model_args)
      self.model_storage.json_set("config", nlp.config)
  
file_path: mindsdb/mindsdb/integrations/handlers/spacy_handler/spacy_handler.py
imports: import spacy
  import pandas
  from mindsdb.integrations.libs.base import BaseMLEngine
  from typing import Optional
label_desc: Use image node_id 3 for calling the SpacyHandler obj's underlying member method code with example usage: obj.create(target, df, args) without return types