class_docstr: Frameworks supported by Argilla
  
  Options:
      transformers: Transformers
      peft: PEFT Transformers library
      setfit: SetFit Transformers library
      spacy: Spacy Explosion
      spacy-transformers: Spacy Transformers Explosion library
      span_marker: SpanMarker Tom Aarsen library
      spark-nlp: Spark NLP John Snow Labs library
      openai: OpenAI LLMs
      trl: Transformer Reinforcement Learning
      sentence-transformers: Sentence Transformers library
class_docstr_tok: ["Frameworks","supported","by","Argilla","Options",":","transformers",":","Transformers","peft",":","PEFT","Transformers","library","setfit",":","SetFit","Transformers","library","spacy",":","Spacy","Explosion","spacy-transformers",":","Spacy","Transformers","Explosion","library","span_marker",":","SpanMarker","Tom","Aarsen","library","spark-nlp",":","Spark","NLP","John","Snow","Labs","library","openai",":","OpenAI","LLMs","trl",":","Transformer","Reinforcement","Learning","sentence-transformers",":","Sentence","Transformers","library"]
code: def _missing_(cls, value):
      raise ValueError(
          f"{value!r} is not a valid {cls.__name__.lower()}, please select one of {list(cls._value2member_map_.keys())}"
      )
  
imports: import datetime
  import logging
  import uuid
  import warnings
  from enum import Enum
  from typing import Any, Dict, List, Optional, Tuple, Union
  import pandas
  from deprecated import deprecated
  from argilla import _messages
  from argilla._constants import DEFAULT_MAX_KEYWORD_LENGTH
  from argilla.pydantic_v1 import BaseModel, Field, PrivateAttr, root_validator, validator
  from argilla.utils.span_utils import SpanUtils
label_desc: Use image node_id 1 for calling the Framework obj's underlying member method code with example usage: obj._missing_(cls, value) without return types