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Update README.md

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@@ -13,7 +13,7 @@ base_model: meta-llama/Meta-Llama-3-8B
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  # Persian Therapist Model: Dr. Aram and Mohammad
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- ![A modern therapist's office with a Persian aesthetic, featuring a humanoid robot therapist and a visibly sad man. The robot is sleek an](https://huggingface.co/ViraIntelligentDataMining/Dr-Aram-Llama-3-8B/resolve/main/A%20modern%20therapist's%20office.webp)
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  This model has been fine-tuned on the LLaMA-3-8B to simulate therapeutic conversations in Persian between a therapist named Dr. Aram and a person named Mohammad. It is designed to aid developers and researchers in creating applications that require empathetic dialogue in a therapeutic context. The utilization of LLaMA-3-8B, known for its powerful language understanding capabilities, enhances the model's ability to generate nuanced and contextually appropriate responses, making it an ideal tool for advancing digital therapeutic solutions.
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@@ -40,7 +40,7 @@ model = AutoModelForCausalLM.from_pretrained(
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  model.config.use_cache = False
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  model = PeftModel.from_pretrained(
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  model,
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- "ViraIntelligentDataMining/Persian-Therapist-Llama-3-8B"
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  )
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  pipe = pipeline(task="text-generation", model=model, tokenizer="meta-llama/Meta-Llama-3-8B", max_length=2048,
 
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  # Persian Therapist Model: Dr. Aram and Mohammad
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+ ![A modern therapist's office with a Persian aesthetic, featuring a humanoid robot therapist and a visibly sad man. The robot is sleek an](https://huggingface.co/aminabbasi/Dr-Aram-Llama-3-8B/resolve/main/A%20modern%20therapist's%20office.webp)
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  This model has been fine-tuned on the LLaMA-3-8B to simulate therapeutic conversations in Persian between a therapist named Dr. Aram and a person named Mohammad. It is designed to aid developers and researchers in creating applications that require empathetic dialogue in a therapeutic context. The utilization of LLaMA-3-8B, known for its powerful language understanding capabilities, enhances the model's ability to generate nuanced and contextually appropriate responses, making it an ideal tool for advancing digital therapeutic solutions.
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  model.config.use_cache = False
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  model = PeftModel.from_pretrained(
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  model,
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+ "aminabbasi/Persian-Therapist-Llama-3-8B"
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  )
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  pipe = pipeline(task="text-generation", model=model, tokenizer="meta-llama/Meta-Llama-3-8B", max_length=2048,