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pip transformers
Browse files- app.py +2 -8
- requirements.txt +1 -1
app.py
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@@ -1,15 +1,7 @@
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import os
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import shlex
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import subprocess
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from threading import Thread
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from typing import Iterator
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from huggingface_hub import hf_hub_download
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whl_path = hf_hub_download("google/gemma-2-9b-it", "transformers/transformers-4.42.0.dev0-py3-none-any.whl")
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subprocess.run(shlex.split(f"pip install {whl_path}"))
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import gradio as gr
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import spaces
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import torch
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Gemma 2 is Google's latest iteration of open LLMs.
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This is a demo of [`google/gemma-2-9b-it`](https://huggingface.co/google/gemma-2-9b-it), fine-tuned for instruction following.
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For more details, please check [our post](https://huggingface.co/blog/gemma2).
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"""
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MAX_MAX_NEW_TOKENS = 2048
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import os
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from threading import Thread
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from typing import Iterator
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import gradio as gr
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import spaces
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import torch
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Gemma 2 is Google's latest iteration of open LLMs.
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This is a demo of [`google/gemma-2-9b-it`](https://huggingface.co/google/gemma-2-9b-it), fine-tuned for instruction following.
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For more details, please check [our post](https://huggingface.co/blog/gemma2).
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👉 Looking for a larger and more powerful version? Try the 27B version in [HuggingChat](https://huggingface.co/chat/models/google/gemma-2-27b-it).
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"""
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MAX_MAX_NEW_TOKENS = 2048
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requirements.txt
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@@ -3,4 +3,4 @@ bitsandbytes==0.43.1
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gradio==4.37.1
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spaces==0.28.3
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torch==2.2.0
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gradio==4.37.1
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spaces==0.28.3
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torch==2.2.0
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transformers==4.42.1
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