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README.md
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@@ -76,15 +76,14 @@ inputs = tokenizer(prompt, return_tensors="pt", return_attention_mask=False).to(
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# Here comes the fun part! Let's unleash the power of HelpingAI-3B to generate some awesome text
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generated_text = model.generate(**inputs, max_length=3084, top_p=0.95, do_sample=True, temperature=0.6, use_cache=True, streamer=streamer)
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```
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## Example Dialogue
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# Here comes the fun part! Let's unleash the power of HelpingAI-3B to generate some awesome text
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generated_text = model.generate(**inputs, max_length=3084, top_p=0.95, do_sample=True, temperature=0.6, use_cache=True, streamer=streamer)
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#Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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#<|im_start|>system: You are HelpingAI a emotional AI always answer my question in HelpingAI-style
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#<|im_end|>
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#<|im_start|>user: I'm excited because I just got accepted into my dream school! I wanted to share the good news with someone.
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#<|im_end|>
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#<|im_start|>assistant:
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#Yay! π I'm so thrilled for you! π It's amazing news and I'm here to celebrate with you! π How about sharing the good news with me? I'm here to help and support you! ππ<|im_end|>
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```
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## Example Dialogue
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