Geração aumentada por recuperação (RAG, na sigla em inglês) multimodal usando a API Gemini na Vertex AI avaliações
35788 avaliações
Khaja R. · Revisado há 8 days
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Shamanth K. · Revisado há 9 days
good
Udhaya P. · Revisado há 9 days
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Suhas C. · Revisado há 9 days
429 issues no matter what i try
Santosh R. · Revisado há 9 days
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R Shree A. · Revisado há 9 days
규훈 이. · Revisado há 9 days
Dilli B. · Revisado há 9 days
there were issues with the code blocks; Ah, that explains it. The rich library is installed, but it's sitting in your micromamba environment (`/opt/micromamba/...`), while your Jupyter Notebook kernel is likely running a completely different Python executable. When Jupyter uses a different kernel version or virtual environment than the one where the packages are installed, it won't see them, leading back to that NameError. You can fix this inside the notebook by forcing pip to install directly into the specific environment your current kernel is using. Run this in a new cell: ```python import sys !{sys.executable} -m pip install rich vertexai ``` Using `sys.executable` guarantees that the packages land in the exact Python environment running your current notebook. Once that cell finishes running, go ahead and execute your import cell again: ```python from IPython.display import Markdown, display from rich.markdown import Markdown as rich_Markdown from vertexai.generative_models import GenerationConfig, GenerativeModel, Image ``` Everything should import cleanly this time, and your model initialization lines will work right after.
Raphael M. · Revisado há 9 days
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Rabiaafrose A. · Revisado há 9 days
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R Shree A. · Revisado há 9 days
Vinay S. · Revisado há 9 days
fail Vertex AI!!!!
Teodoro C. · Revisado há 9 days
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