Using Chat GPT
Chat GPT is a powerful language model developed by OpenAI. Its primary function is to generate human-like text based on the prompts it receives. Here’s a basic guide on how to use it:
Step 1: Install necessary libraries
To use ChatGPT you need Python programming language installed on your system, along with several libraries like TensorFlow or PyTorch. Usually, the installation commands would be something like:
pip install torch pip install transformers
Step 2: Import the model
You need to import the ChatGPT model from Transformers library. Here’s how you can do it:
from transformers import GPT2LMHeadModel, GPT2Tokenizer
Step 3: Load the model and tokenizer
Next, load the model and the tokenizer specific for GPT-2. You’d typically use ‘gpt2-medium’ or ‘gpt2-large’ model.
tokenizer = GPT2Tokenizer.from_pretrained('gpt2') model = GPT2LMHeadModel.from_pretrained('gpt2')
Step 4: Generate text
Now you can use the model to generate text. The input text is tokenized and then passed through the model. The predictions are then decoded to generate the output text.
input_text = 'Hello, GPT-2!' indexed_tokens = tokenizer.encode(input_text) tokens_tensor = torch.tensor([indexed_tokens])Outputs = model(tokens_tensor) predictions = Outputspredicted_index = torch.argmax(predictions[0, -1, :]).item() predicted_text = tokenizer.decode(indexed_tokens + [predicted_index])
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