BERT Models Finetuned on SCQA2 for Solar Cells
Collection
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
How to use CambridgeMolecularEngineering/bert-large-cased-scsmall-scqa2 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="CambridgeMolecularEngineering/bert-large-cased-scsmall-scqa2") # Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-large-cased-scsmall-scqa2")
model = AutoModelForQuestionAnswering.from_pretrained("CambridgeMolecularEngineering/bert-large-cased-scsmall-scqa2")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
epoch 6 step 732