code: def __init__(
      self,
      hidden_size,
      intermediate_size,
      max_position_embeddings,
      num_attention_heads,
      num_hidden_layers,
      type_vocab_size,
      vocab_size,
      attention_probs_dropout_prob,
      hidden_dropout_prob,
  ):
      self.embeddings = BertEmbeddings(
          hidden_size,
          max_position_embeddings,
          type_vocab_size,
          vocab_size,
          hidden_dropout_prob,
      )
      self.encoder = BertEncoder(
          hidden_size,
          intermediate_size,
          num_attention_heads,
          num_hidden_layers,
          attention_probs_dropout_prob,
          hidden_dropout_prob,
      )
  
imports: from tinygrad.tensor import Tensor
  from tinygrad.nn import Linear, LayerNorm, Embedding
  from tinygrad.helpers import fetch, get_child
  from pathlib import Path
label_desc: Use image node_id 1 to create a new Bert object  with example: obj = Bert(hidden_size, intermediate_size, max_position_embeddings, num_attention_heads, num_hidden_layers, type_vocab_size, vocab_size, attention_probs_dropout_prob, hidden_dropout_prob)