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  1. README.md +2 -1
README.md CHANGED
@@ -10,6 +10,7 @@ base_model:
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  Llama 2 Emotional Chatbot
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  Emotional_Chatbot is a fine-tuned version of the LLaMA-2-7b-Chat model, specifically designed to create chatbots that can understand and respond empathetically to the emotions expressed by users. This model is tailored for applications in conversational AI, where emotional understanding and context-aware responses are crucial.
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  Purpose: To generate contextually relevant and empathetic responses to user inputs while understanding the user’s emotional state.
@@ -39,7 +40,7 @@ python
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  #transformer -4.31
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  from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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- model_name = "your_username/Emotional_Chatbot"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
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  Llama 2 Emotional Chatbot
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  Emotional_Chatbot is a fine-tuned version of the LLaMA-2-7b-Chat model, specifically designed to create chatbots that can understand and respond empathetically to the emotions expressed by users. This model is tailored for applications in conversational AI, where emotional understanding and context-aware responses are crucial.
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  Purpose: To generate contextually relevant and empathetic responses to user inputs while understanding the user’s emotional state.
 
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  #transformer -4.31
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  from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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+ model_name = "VaisakhKrishna/Emotional_Chatbot"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForCausalLM.from_pretrained(model_name)
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