class_docstr: Sentence splitter using the spacy model `en_core_sci_sm`.
  
  Convenience class to instantiate :class:`SpacySentenceSplitter` with Spacy model `en_core_sci_sm`
  for sentence splitting and :class:`SciSpacyTokenizer` as tokenizer.
class_docstr_tok: ["Sentence","splitter","using","the","spacy","model","`","en_core_sci_sm","`",".","Convenience","class","to","instantiate",":","class",":","`","SpacySentenceSplitter","`","with","Spacy","model","`","en_core_sci_sm","`","for","sentence","splitting","and",":","class",":","`","SciSpacyTokenizer","`","as","tokenizer","."]
code: def __init__(self) -> None:
      super().__init__("en_core_sci_sm", SciSpacyTokenizer())
  
imports: from abc import ABC, abstractmethod
  from typing import Any, List, Optional, Union
  from segtok.segmenter import split_multi
  from flair.data import Sentence
  from flair.tokenization import SciSpacyTokenizer, SegtokTokenizer, SpacyTokenizer, Tokenizer
label_desc: Use image node_id 1 to create a new SciSpacySentenceSplitter object from inherited base classes: SpacySentenceSplitter with example: obj = SciSpacySentenceSplitter()