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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Load Model With Token Main
-emoji: 🌍
-colorFrom: blue
-colorTo: green
+title: load_model_with_token_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 5.5.0
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+gradio-client @ git+https://github.com/gradio-app/gradio@08f4b8b000702456e04fac70961a4fbe0058f11c#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/08f4b8b000702456e04fac70961a4fbe0058f11c/gradio-5.5.0-py3-none-any.whl

run.ipynb

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+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: load_model_with_token"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "# This demo requires a Hugging Face PRO token.\n", "demo = gr.load(\"meta-llama/Meta-Llama-3-8B-Instruct\", src=\"models\", accept_token=True)\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

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+import gradio as gr
+
+# This demo requires a Hugging Face PRO token.
+demo = gr.load("meta-llama/Meta-Llama-3-8B-Instruct", src="models", accept_token=True)
+
+if __name__ == "__main__":
+    demo.launch()