minilm-uncased-squad2

The ahotrod/electra_large_discriminator_squad2_512 model is a fine‑tuned version of Google’s Electra‑large‑discriminator architecture, adapted specifically for the SQuAD 2.0 question‑answering (QA) benchmark.

What is this model? deepset/roberta-base-squad2 is an English‑language, extractive question‑answering (QA) model built on top of the roberta‑base transformer.

The bert‑large‑uncased‑whole‑word‑masking‑finetuned‑squad model is a 24‑layer BERT‑large transformer pre‑trained on English text and subsequently fine‑tuned on the Stanford Question Answering Dataset (SQuAD).