BERT Models Finetuned on SCQA2 for Solar Cells
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Train set: SCQA2 train set Test set: SCQA2 test set (SCQA2 contains first-turn, second-turn, and zero-index QA pairs in the Solar Cell QA Dataset) • 16 items • Updated
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-base-cased-scsmall-scqa2")
model = AutoModelForQuestionAnswering.from_pretrained("CambridgeMolecularEngineering/bert-base-cased-scsmall-scqa2")Quick Links
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epoch 3 step 366
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CambridgeMolecularEngineering/bert-base-cased-scsmall-scqa2")