bert-large-uncased-whole-word-masking-finetuned-squad
A whole word masking model finetuned on SQuAD is a transformer-based language model pretrained on a large corpus of English data. The model was trained using a masked language modeling objective, where 15% of the tokens in a sentence were randomly masked, and the model had to predict the missing tokens. The model was also fine-tuned on the SQuAD dataset for question answering tasks, achieving high scores on both F1 and exact match metrics.
A whole word masking model finetuned on SQuAD is a transformer-based language model pretrained on a large corpus of English data. The model was trained using a masked language modeling objective, where 15% of the tokens in a sentence were randomly masked, and the model had to predict the missing tokens. The model was also fine-tuned on the SQuAD dataset for question answering tasks, achieving high scores on both F1 and exact match metrics.
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
