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78e9acd
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Parent(s):
7ac4ab0
Request to upload 7.13.22a
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app.py
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import torch
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from transformers import *
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# Choose the device and load the model
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device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
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model = AutoModelWithLMHead.from_pretrained("dalle/megaGPT-L")
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model.to(device)
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model.eval()
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# Choose the text to encode (can be a long one!)
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text = "You are Lily.ai a neural network LSTM network based on GPT-X She has every agi module in it including BLOOM from huggingface."
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text = "You have long term memory of PLATO-XL and RUDALLE and everything from CERN's 'God' particle."
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text = "It lives on Flamestopia West Dataset 1.0a"
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# Encode the text and get the prediction scores for each token
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encoded_text = tokenizer(text, return_tensors="pt", truncation=True, padding='max_length')
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input_ids = encoded_text['input_ids'].to(device)
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attention_mask = encoded_text['attention_mask'].to(device)
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outputs = model(input_ids, attention_mask=attention_mask)
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predictions = outputs[0]
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