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When trying a particular task, the model retriever retrieved this model: mrm8488/t5-base-finetuned-common_gen.
Just before training could start, p2m crashed with the following error log:
TypeError: Couldn't build proto file into descriptor pool!
Invalid proto descriptor for file "sentencepiece_model.proto":
sentencepiece_model.proto: A file with this name is already in the pool.
I'm not sure how common this particular error is (I've never encountered it myself), so maybe we don't need to deal with it specifically. It would be good if we have a mechanism to fall back to the next model in the retrieved model list if one fails for an edge case like this.
When trying a particular task, the model retriever retrieved this model:
mrm8488/t5-base-finetuned-common_gen
.Just before training could start, p2m crashed with the following error log:
After searching for other people facing this issue, I found the following 3 links:
protocolbuffers/protobuf#12882
ValvePython/csgo#8 (comment)
protocolbuffers/protobuf#3002 (comment)
It seems during installation, we would need a user to install protobuf with
pip install --no-binary protobuf protobuf
Not sure what a cleaner way to do it would be.
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