Update README.md
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README.md
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@@ -70,8 +70,8 @@ device='cpu'
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model = GPT2LMHeadModel.from_pretrained('fittar/ViPE-S-CTX7')
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model.to(device)
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#ViPE-M's tokenizer is identical to that of GPT2-
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tokenizer = GPT2Tokenizer.from_pretrained('gpt2
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tokenizer.pad_token = tokenizer.eos_token
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# A list of abstract/figurative or any arbitrary combinations of keywords
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@@ -81,6 +81,10 @@ prompts=generate(texts,model,tokenizer,do_sample=True,device=device)
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for t,p in zip(texts,prompts):
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print('{} --> {}'.format(t,p))
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```
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model = GPT2LMHeadModel.from_pretrained('fittar/ViPE-S-CTX7')
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model.to(device)
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#ViPE-M's tokenizer is identical to that of GPT2-Small
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tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
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tokenizer.pad_token = tokenizer.eos_token
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# A list of abstract/figurative or any arbitrary combinations of keywords
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for t,p in zip(texts,prompts):
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print('{} --> {}'.format(t,p))
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lalala --> A group of dancers performing an extravagant traditional dance, lalala in Spanish
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I wanna start learning --> A student intently sitting at a desk, surrounded by books and notes
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free your mind; you will see the other side of life --> A view of the night sky, stars and planets shining bright, while a woman in a field of flowers looks up in awe
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brave; fantasy --> A knight in shining armor riding a gallant horse through a sunlit valley
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```
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