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Update app.py
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app.py
CHANGED
@@ -18,14 +18,13 @@ quantization_config = BitsAndBytesConfig(load_in_8bit=True)
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model = AutoModelForCausalLM.from_pretrained(model_path, device_map='cuda', quantization_config=quantization_config)
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@spaces.GPU
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def generate_text(usertitle, content, max_new_tokens=512, temperature=0.7
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# msg = [{
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# 'title': title,
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# 'content': content
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# }]
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input_text = f"[[[Title:]]]{usertitle}\n[[[Content:]]]{content}\n"
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inputs = tokenizer(input_text, return_tensors='pt').to('cuda')
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-
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generated_ids = model.generate(inputs['input_ids'], max_new_tokens=max_length, temperature=temperature, pad_token_id=tokenizer.eos_token_id)
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generated_text = tokenizer.decode(generated_ids[0], skip_special_tokens=False)
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model = AutoModelForCausalLM.from_pretrained(model_path, device_map='cuda', quantization_config=quantization_config)
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@spaces.GPU
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def generate_text(usertitle, content, max_new_tokens=512, temperature=0.7):
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# msg = [{
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# 'title': title,
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# 'content': content
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# }]
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input_text = f"[[[Title:]]]{usertitle}\n[[[Content:]]]{content}\n"
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inputs = tokenizer(input_text, return_tensors='pt').to('cuda')
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generated_ids = model.generate(inputs['input_ids'], max_new_tokens=max_length, temperature=temperature, pad_token_id=tokenizer.eos_token_id)
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generated_text = tokenizer.decode(generated_ids[0], skip_special_tokens=False)
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