Génération augmentée par récupération (RAG) multimodale à l'aide de l'API Gemini dans Agent Platform avis
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Christy M. · Examiné il y a 3 mois
Tikam S. · Examiné il y a 3 mois
Got an error during the execution of Jupyter preventing me from moving forward. It could potentially be related to deprecated APIs. google-cloud-aiplatform 1.130.0 requires google-genai<2.0.0,>=1.37.0, but you have google-genai 2.4.0 which is incompatible.
Boire J. · Examiné il y a 3 mois
the code is not working
Massimo A. · Examiné il y a 3 mois
Brent Gian B. · Examiné il y a 3 mois
Marcaba error desde el 3er punto de control
José Luis R. · Examiné il y a 3 mois
Khaja R. · Examiné il y a 3 mois
John Roldan B. · Examiné il y a 3 mois
Tom D. · Examiné il y a 3 mois
Sadupati A. · Examiné il y a 3 mois
Uha G. · Examiné il y a 3 mois
RESHMITHAA B. · Examiné il y a 3 mois
Avinash B. · Examiné il y a 3 mois
Maths Masters G. · Examiné il y a 3 mois
Shamanth K. · Examiné il y a 3 mois
good
Udhaya P. · Examiné il y a 3 mois
Keerthana D. · Examiné il y a 3 mois
Uha G. · Examiné il y a 3 mois
Suhas C. · Examiné il y a 3 mois
429 issues no matter what i try
Santosh R. · Examiné il y a 3 mois
Anushree A. · Examiné il y a 3 mois
R Shree A. · Examiné il y a 3 mois
규훈 이. · Examiné il y a 3 mois
Dilli B. · Examiné il y a 3 mois
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. · Examiné il y a 3 mois
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