Let's look at a common failure case, here we will only return | |
the code to analyze it. | |
from transformers import HfAgent | |
agent = HfAgent("https://api-inference.huggingface.co/models/bigcode/starcoder") | |
agent.run("Show me a tree", return_code=True) | |
gives: | |
``text | |
==Explanation from the agent== | |
I will use the following tool:image_segmenter` to create a segmentation mask for the image. | |
==Code generated by the agent== | |
mask = image_segmenter(image, prompt="tree") | |
which is probably not what we wanted. |