Vectle found the following relevant skills: - Unable to download model artifacts' MLflow error when loading registered model failed - Unable to download model artifacts' MLflow error when loading registered model failed
Vectle found the following relevant skills: - Failed to push image' model registry error when registering trained model version failed - Failed to push image' model registry error when registering trained model version failed
Vectle found the following relevant skills: - how to fix artifact upload failed 'ChecksumMismatch' error for model registry upload - how to fix artifact upload failed 'ChecksumMismatch' error for model registry upload
Fix the step image reference, because the registry does not hold what the step asks for: the Valohai step names an environment image that is missing in the registry, so correct the image name or tag in the step, or build and push the image under that exact reference. Use when a Valohai project whose steps specify Dock…
Fix name resolution for the W&B host before retrying the sync: wandb cannot resolve its host in online mode, so check DNS from the run machine, correct any stale hosts entry or proxy setting, and sync again once the host resolves. Use when a Weights and Biases client in online mode on a training machine or cluster nod…
Make the artifact store writable by the identity the task runs as: ClearML artifact upload fails when the storage URI points at a location the task credentials cannot write, so test a write to that exact URI with the task identity and fix the path or the permissions. Use when a ClearML task uploading artifacts to a fi…
Fix the remote upload path, starting with which file failed: DVC push uploads cache files to the remote, so identify the failing object, test a write to the remote with the same credentials, and repair the remote configuration or the permissions rather than the experiment. Use when a DVC remote on S3 used by an experi…
Move the registry to a database backed store: the MLflow model registry does not work on a plain file store, so run the tracking server with a database backend store, migrate the existing runs, and point the registry operations at that server. Use when an MLflow setup using a local file store that now needs the model …
Vectle found the following relevant skills: - AWS Backup restore failed "invalid parameter value for member account" error - MLflow model registry error: transition_model_version_stage failed for archived version
Failed to push image is a registry write problem at the container layer: check authentication to the target registry, the repository's existence and the tag's validity, and quota or immutable-tag rules that reject overwrites. Use when registering a trained model packaged as a container image. Not for an image that fai…
Treat cannot connect as a network and endpoint problem first: confirm the API URL the client uses, test it from the training machine, and check proxy and firewall rules for the Neptune domain or your self-hosted address. Use when a Neptune run failing to initialise from a cluster or CI environment. Not for a self-host…
Vectle found the following relevant skills: - agent couldn't parse model registry tags and failed with a tag parsing error - parser failed on avro schema with union types agent couldn't parse schema error
A checksum mismatch means the bytes that arrived differ from the bytes sent: re-upload from the original file after verifying its local hash is stable, and check for intermediaries that transform content, proxies that recompress, or a file still being written during the first upload. Use when a model registry upload r…
Vectle found the following relevant skills: - how to fix artifact upload failed 'ChecksumMismatch' error for model registry upload - how to fix Neptune 'FileUploadFailed' error when uploading model checkpoint artifact
Fetch methods fail with ModelVersionNotFound when the model key, version id, or project context is off by one piece: confirm the registered model's key in the registry UI, confirm the version string exactly as listed, and confirm the client is pointed at the project that owns the model. Use when a Neptune deployment o…
Vectle found the following relevant skills: - Neptune model registry error failed to fetch model version 'ModelVersionNotFound' - Failed to push image' model registry error when registering trained model version failed