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rajeshthangaraj1
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•
5617cf0
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Parent(s):
56d25d5
Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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import os
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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import gradio as gr
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@@ -10,25 +10,14 @@ tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
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os.environ['HF_TOKEN']=os.environ.get('HF_TOKEN')
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os.environ['HUGGINGFACEHUB_API_TOKEN']=os.environ.get('HF_TOKEN')
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# Configure quantization for CPU
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quantization_config = BitsAndBytesConfig(
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load_in_4bit=True,
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bnb_4bit_compute_dtype=torch.bfloat16,
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bnb_4bit_use_double_quant=True,
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bnb_4bit_quant_type="nf4"
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)
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# Load the model with quantization
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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quantization_config=quantization_config
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)
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# Set the device to CPU
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device = "cpu"
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# model.to(device)
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# Define the function for the Gradio interface
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def chat_with_phi(message):
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import os
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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import gradio as gr
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os.environ['HF_TOKEN']=os.environ.get('HF_TOKEN')
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os.environ['HUGGINGFACEHUB_API_TOKEN']=os.environ.get('HF_TOKEN')
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# Load the model with quantization
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model = AutoModelForCausalLM.from_pretrained(
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MODEL_ID,
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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# Define the function for the Gradio interface
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def chat_with_phi(message):
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