Two ONNX versions of one DistilBERT model that reads an English movie review and says whether it is positive or negative. They were made by Byte-Sized Brain, a project that measures what quantization does to the size, accuracy, speed and memory of neural networks. - distilbertimdbfp32.onnx is the full-precision model, fine-tuned on 3,000 IMDB reviews. - distilbertimdbint8.onnx is the same model after ONNX Runtime dynamic INT8 quantization, which stores the weights as 8-bit numbers. Try both side by side in the hosted demo. The model reads at most 128 tokens. Label 0 is negative and label 1 is positive. Both inputs must be int64, which the tokenizer does not guarantee on every platform.
Independent publisher
Vardh Jain
vardhjain20
Models in Library1
Datasets in Library0
Models on Hugging Face1
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Published tasks: Text classification.
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