docstr: Uploads the model to [huggingface's model hub](https://huggingface.co/models).
  
  The full list of parameters can be seen at:
  [sentence-transformer api docs](https://www.sbert.net/docs/package_reference/SentenceTransformer.html#sentence_transformers.SentenceTransformer.save_to_hub).
  
  Args:
      repo_id:
          The name of the repository you want to push your model and tokenizer to.
          It should contain your organization name when pushing to a given organization.
  
  Raises:
      NotImplementedError:
          For `CrossEncoder` models, that currently aren't implemented underneath.
docstr_tok: ["Uploads","the","model","to","[","huggingface","'s","model","hub","]","(","https",":","\/\/huggingface.co\/models",")",".","The","full","list","of","parameters","can","be","seen","at",":","[","sentence-transformer","api","docs","]","(","https",":","\/\/www.sbert.net\/docs\/package_reference\/SentenceTransformer.html","#","sentence_transformers.SentenceTransformer.save_to_hub",")",".","Args",":","repo_id",":","The","name","of","the","repository","you","want","to","push","your","model","and","tokenizer","to",".","It","should","contain","your","organization","name","when","pushing","to","a","given","organization",".","Raises",":","NotImplementedError",":","For","`","CrossEncoder","`","models",",","that","currently","are","n't","implemented","underneath","."]
code: def push_to_huggingface(self, repo_id: str, **kwargs) -> None:
      """Uploads the model to [huggingface's model hub](https://huggingface.co/models).
  
      The full list of parameters can be seen at:
      [sentence-transformer api docs](https://www.sbert.net/docs/package_reference/SentenceTransformer.html#sentence_transformers.SentenceTransformer.save_to_hub).
  
      Args:
          repo_id:
              The name of the repository you want to push your model and tokenizer to.
              It should contain your organization name when pushing to a given organization.
  
      Raises:
          NotImplementedError:
              For `CrossEncoder` models, that currently aren't implemented underneath.
      """
      raise NotImplementedError(
          "This method is not implemented for `ArgillaSentenceTransformersTrainer`."
      )
  
file_path: argilla/src/argilla/client/feedback/training/frameworks/sentence_transformers.py
imports: import logging
  from typing import TYPE_CHECKING, List, Optional, Tuple, Union
  from argilla.client.feedback.training.base import ArgillaTrainerSkeleton
  from argilla.client.feedback.training.schemas.base import TrainingTaskForSentenceSimilarity
  from argilla.training.utils import filter_allowed_args, get_default_args
  from argilla.utils.dependency import require_dependencies
label_desc: Use image node_id 11 for calling the ArgillaSentenceTransformersTrainer obj's underlying member method code with example usage: obj.push_to_huggingface(repo_id) without return types