Approved models
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Verify each model’s source, terms, capabilities, and current availability
finiteautomata models in this directory cover text classification. Start with the task you need to solve, then open a model profile to check its recorded inputs, outputs, licensing and deployment options.
Use a held-out set from your own domain. Check per-class precision and recall, ambiguous examples, class imbalance and the meaning of every returned label; an overall accuracy score can hide the errors that matter most.
Check whether two entries describe distinct models or different hosted routes for the same model. Keep the checkpoint, host, test settings and evaluation date together. Missing prices and limits mean the directory has no recorded figure, not that use is free or unlimited.
Browse the AI model directory or compare two models.
Review each record individually; collection membership does not imply a recommendation or guarantee of availability.
| finiteautomata/bertweet-base-sentiment-analysis finiteautomata | 5.0 | — | — | — | — |
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About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.