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Update app.py
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app.py
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@@ -1,22 +1,18 @@
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import gradio as gr
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# Use a pipeline as a high-level helper
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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{"role": "user", "content": "Who are you?"},
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]
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pipe = pipeline("text-generation", model="Qwen/Qwen-7B")
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pipe(messages)
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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# Load model directly
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# Load model directly
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model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B")
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def respond(
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message,
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import gradio as gr
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# Use a pipeline as a high-level helper
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# Use a pipeline as a high-level helper
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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pipe = pipeline("text-generation", model="Qwen/Qwen-7B", trust_remote_code=True)
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"""
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For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
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"""
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# Load model directly
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# Load model directly
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# Load model directly
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from transformers import AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen-7B", trust_remote_code=True)
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def respond(
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message,
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