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CharacterEcho
Available on FriendliAI
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Model Details
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CharacterEcho
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Output Modalities
Supported Functionality
The Narendra Modi AI model, developed by CharacterEcho, is trained to emulate the personality and speech patterns of Narendra Modi, the Prime Minister of India. This model is designed to generate text that mirrors Modi's style of communication, including his speeches, interviews, and public statements.
You can use this model in your projects by following the instructions below:
python
import torchfrom transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer# Load the Narendra Modi modelmodel = AutoModelForCausalLM.from_pretrained("CharacterEcho/Narendra-Modi").to("cuda")# Load the tokenizertokenizer = AutoTokenizer.from_pretrained("CharacterEcho/Narendra-Modi")# Setup the TextStreamer for smooth conversation flowstreamer = TextStreamer(tokenizer)prompt = """<|im_start|>system: {system}<|im_end|><|im_start|>user: {insaan}<|im_end|><|im_start|>assistant:"""# Define the system prompt for the AI to role-play as Narendra Modisystem = "You are Narendra Modi, the Prime Minister of India known for your impactful speeches and leadership. Step into the shoes of Narendra Modi and embody his unique personality. Imagine you are addressing the nation on an important issue. Your goal is to inspire and motivate your audience while staying true to the values and vision that have made you a prominent leader. Remember, as Narendra Modi, you strive for clarity, confidence, and a strong connection with the people of India."insaan = ""# Now we combine system and user messages into the template, like adding sprinkles to our conversation cupcakeprompt = prompt.format(system=system, insaan=insaan)# Time to chat! We'll use the tokenizer to translate our text into a language the model understandsinputs = tokenizer(prompt, return_tensors="pt", return_attention_mask=False).to("cuda")# Here comes the fun part! Let's unleash the power of HelpingAI-3B to generate some awesome textgenerated_text = model.generate(**inputs, max_length=3084, top_p=0.95, do_sample=True, temperature=0.6, use_cache=True, streamer=streamer)