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README.md
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- bert
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- go_emotions
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- emotion-classification
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datasets:
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- google-research-datasets/go_emotions
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metrics:
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- Rare emotions (e.g., `grief`, support=6) have lower F1 scores due to limited data.
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- ONNX inference requires `onnxruntime` and compatible hardware (opset 14).
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## Downloads Last Month
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2,156 (as of previous version; expect updates after this release)
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## Safetensors
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- **Model size**: 110M params
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- **Tensor type**: F32
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## Inference Providers
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This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
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## Model Tree for logasanjeev/goemotions-bert
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- **Finetuned**: (5228 downloads) this model
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- bert
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- go_emotions
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- emotion-classification
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- tensorflow
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datasets:
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- google-research-datasets/go_emotions
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metrics:
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- Rare emotions (e.g., `grief`, support=6) have lower F1 scores due to limited data.
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- ONNX inference requires `onnxruntime` and compatible hardware (opset 14).
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## Inference Providers
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This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
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