class_docstr: This is the window service for the legacy Anthropic client.
  Please consider using the new Anthropic client with the AnthropicWindowService.
  Anthropic has their own tokenizer based on the GPT-2 tokenizer.
  This tokenizer is not publicly available, so approximate with the GPT-2 tokenizer.
class_docstr_tok: ["This","is","the","window","service","for","the","legacy","Anthropic","client",".","Please","consider","using","the","new","Anthropic","client","with","the","AnthropicWindowService",".","Anthropic","has","their","own","tokenizer","based","on","the","GPT-2","tokenizer",".","This","tokenizer","is","not","publicly","available",",","so","approximate","with","the","GPT-2","tokenizer","."]
code: def __init__(self, service: TokenizerService):
      super().__init__(service)
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/window_services/anthropic_window_service.py
imports: from .gpt2_window_service import GPT2WindowService
  from .tokenizer_service import TokenizerService
label_desc: Use image node_id 1 to create a new LegacyAnthropicWindowService object from inherited base classes: GPT2WindowService with example: obj = LegacyAnthropicWindowService(service)