distilbert-base-cased-distilled-squad
The DistilBERT model is a small, fast, cheap, and lightweight Transformer model trained by distilling BERT base. It has 40% fewer parameters than the original BERT model and runs 60% faster, preserving over 95% of BERT's performance. The model was fine-tuned using knowledge distillation on the SQuAD v1.1 dataset and achieved a F1 score of 87.1 on the dev set.
The DistilBERT model is a small, fast, cheap, and lightweight Transformer model trained by distilling BERT base. It has 40% fewer parameters than the original BERT model and runs 60% faster, preserving over 95% of BERT's performance. The model was fine-tuned using knowledge distillation on the SQuAD v1.1 dataset and achieved a F1 score of 87.1 on the dev set.
HTTP/cURL API
Input fields
webhookfile
The webhook to call when inference is done, by default you will get the output in the response of your inference request
