Transformers
PyTorch
bert
How to use from the
Use from the
Transformers library
# Load model directly
from transformers import AutoTokenizer, MultiPassageBERT

tokenizer = AutoTokenizer.from_pretrained("PaulLerner/multi_passage_bert_triviaqa_without_viquae_mean_pool_loss")
model = MultiPassageBERT.from_pretrained("PaulLerner/multi_passage_bert_triviaqa_without_viquae_mean_pool_loss", device_map="auto")
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Model trained on TriviaQA, filtered of all questions used in ViQuAE, as described in https://paullerner.github.io/ViQuAE/index.html#reading-comprehension but after fixing the loss (mean-pooling instead of max-pooling, see https://github.com/facebookresearch/DPR/issues/244)

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Dataset used to train PaulLerner/multi_passage_bert_triviaqa_without_viquae_mean_pool_loss