code: def register_huggingface_model_config(
      model_name: str,
  ) -> HuggingFaceModelConfig:
      """Register a AutoModelForCausalLM model from Hugging Face Model Hub for later use.
  
      model_name format: namespace/model_name[@revision]"""
      config = HuggingFaceModelConfig.from_string(model_name)
      if config.model_id in _huggingface_model_registry:
          raise ValueError(
              f"A Hugging Face model is already registered for model_id {model_name}"
          )
      _huggingface_model_registry[model_name] = config
  
      # HELM model names require a namespace
      if not config.namespace:
          raise Exception(
              "Registration of Hugging Face models without a namespace is not supported"
          )
      if model_name in MODEL_NAME_TO_MODEL:
          raise ValueError(
              f"A HELM model is already registered for model name: {model_name}"
          )
      description = f"HuggingFace model {config.model_id}"
      if config.revision:
          description += f" at revision {config.revision}"
      model = Model(
          group=config.namespace,
          name=model_name,
          display_name=model_name,
          creator_organization=config.namespace,
          description=description,
          tags=[TEXT_MODEL_TAG, FULL_FUNCTIONALITY_TEXT_MODEL_TAG],
      )
      MODEL_NAME_TO_MODEL[model_name] = model
      ALL_MODELS.append(model)
      hlog(f"Registered Hugging Face model: {model} config: {config}")
      return config
  
file_path: H2O/h2o_hf/helm/src/helm/proxy/clients/huggingface_model_registry.py
imports: from typing import Dict, Optional
  from dataclasses import dataclass
  import re
  from helm.common.hierarchical_logger import hlog
  from helm.proxy.models import Model, ALL_MODELS, MODEL_NAME_TO_MODEL, TEXT_MODEL_TAG, FULL_FUNCTIONALITY_TEXT_MODEL_TAG
label_desc: Use image node_id 1 for calling a global function with example usage: register_huggingface_model_config(model_name) and returns: config