explorewithai
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Update README.md
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README.md
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With its cutting-edge capabilities and uncensored nature, ChatFrame V1 is set to revolutionize the way we interact with AI, offering a fresh and dynamic perspective on language understanding and generation!
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**Disclaimer:**
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While ChatFrame V1 provides unrestricted responses, users are advised to utilize the model responsibly and ethically, adhering to legal and moral guidelines. AIFRAME INC promotes the responsible use of AI technology and does not endorse any harmful or illegal activities.
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With its cutting-edge capabilities and uncensored nature, ChatFrame V1 is set to revolutionize the way we interact with AI, offering a fresh and dynamic perspective on language understanding and generation!
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**Disclaimer:**
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While ChatFrame V1 provides unrestricted responses, users are advised to utilize the model responsibly and ethically, adhering to legal and moral guidelines. AIFRAME INC promotes the responsible use of AI technology and does not endorse any harmful or illegal activities.
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**Using with pipline**
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```python
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from transformers import pipeline
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import torch
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# Determine the device: 0 for GPU, -1 for CPU
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device = 0 if torch.cuda.is_available() else -1
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# Load the text-generation model pipeline with GPU support if available
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pipe = pipeline("text-generation", model="explorewithai/ChatFrame-Uncensored-Instruct-Small", device=device)
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# Define the function to generate responses
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def generate_response(user_input):
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messages = [
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{"role": "user", "content": user_input},
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]
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response = pipe(messages)
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# Extract and return only the assistant's response
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assistant_response = response[0]['generated_text']
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return assistant_response
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ai = generate_response(user_input = "Hello")
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print(ai)
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```
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