ameerazam08
commited on
Commit
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2d03482
1
Parent(s):
1925fef
Create test.py
Browse files
test.py
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# Load the trained model and tokenizer
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import torch
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from transformers import GPT2Tokenizer, GPT2LMHeadModel,GPT2Model
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from transformers import TFAutoModel
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model_path = "./trained_gpt2_jokes/5/"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model = GPT2LMHeadModel.from_pretrained(model_path, from_tf=True).to(device)
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tokenizer = GPT2Tokenizer.from_pretrained(model_path)
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# Put the model in eval mode
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model.eval()
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# Define a function for generating text
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def generate_text(prompt_text):
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# Encode the prompt text and move to GPU
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input_ids = tokenizer.encode(prompt_text, return_tensors="pt").to(device)
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# Generate text
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with torch.no_grad():
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output = model.generate(input_ids, max_length=100, num_return_sequences=1, pad_token_id=tokenizer.eos_token_id, temperature=0.5)
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# Decode the generated text
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decoded_output = tokenizer.decode(output[0], skip_special_tokens=True)
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return decoded_output
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# Testing the model with a sample prompt
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prompt = "Why man are "
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generated_joke = generate_text(prompt)
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print(generated_joke)
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#result getting --->Why man are so upset about the new $20 bill? Because it's only worth $15 more than $20.
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