What is CTRL model in transformers?

This recipe explains what is CTRL model in transformers.

Recipe Objective: What is CTRL model in transformers?

The bare CTRL Model transformer, with no special head on top, outputs raw hidden-states.
This model is a descendant of PreTrainedModel. For all of the library's model generic methods, consult the superclass documentation (such as downloading or saving, resizing the input embeddings, pruning heads etc.)
This model is also a torch.nn.Module subclass in PyTorch. Use it like any other PyTorch Module, and refer to the PyTorch documentation for for questions about general behaviour and usage.

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Example of CTRL model-

# Importing required libraries
from transformers import CTRLTokenizer, CTRLModel
import torch

# Load the tokenizer and model of the "ctrl" pretrained model
tz = CTRLTokenizer.from_pretrained('ctrl')
ctrl_model = CTRLModel.from_pretrained('ctrl')

#Tokenizing the input data and assigning the token their IDs
input_values = tz("The quick brown fox jumps over the lazy dog fox", return_tensors="pt")
output_values = ctrl_model(**input_values)

##last_hidden_state contains the sequence of hidden-states at the output of the last layer of the model.
last_hidden_states = output_values.last_hidden_state

#displaying the hidden-states
print("last hidden states: ",last_hidden_states)

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