BERT Models Finetuned on SQuAD and SCQA1 for Solar Cells
Collection
Train set: SQuAD train set + SCQA1 train set Test set: SCQA1 test set (SCQA1 is the first-turn QA pairs in the Solar Cell QA Dataset) • 16 items • Updated
How to use CambridgeMolecularEngineering/bert-large-cased-squadscqa1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="CambridgeMolecularEngineering/bert-large-cased-squadscqa1") # Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-large-cased-squadscqa1")
model = AutoModelForQuestionAnswering.from_pretrained("CambridgeMolecularEngineering/bert-large-cased-squadscqa1")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
epoch 4 step 1096