Train a model
Model trainingUse the training client to compute gradients and perform optimizer steps for your training workflow.
Build model training and sampling workflows with Thinking Machines’ Tinker API and Python SDK.
Use the training client to compute gradients and perform optimizer steps for your training workflow.
Use a sampling client to generate text from a model or trained checkpoint.
Operation documentation reviewed . These are starting workflows, not a complete capability list or a runtime test.
Build model training and sampling workflows with Thinking Machines’ Tinker API and Python SDK.
Authentication and permission requirements have not been reviewed here. Check the provider documentation for the required keys, OAuth scopes and account access before sending a request.
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These are the details currently listed in our catalog. Omitted fields are unknown, not necessarily unsupported. Confirm current requirements in the provider’s documentation.
Build model training and sampling workflows with Thinking Machines’ Tinker API and Python SDK.
Use the linked Tinker (Thinking Machines) provider documentation to check setup and supported capabilities.
Read documentationAPI Tracker summarizes available catalog information. Missing fields mean we have not established those details; they do not mean a feature is unsupported. Confirm current requirements with the provider.
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