BERT Models Finetuned on SCQA1 for Solar Cells
Collection
Train set: SCQA1 Test set: SCQA1 (SCQA1 is the first-turn QA pairs in the Solar Cell QA Dataset) • 16 items • Updated
How to use CambridgeMolecularEngineering/bert-base-uncased-scmedium-scqa1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="CambridgeMolecularEngineering/bert-base-uncased-scmedium-scqa1") # Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-base-uncased-scmedium-scqa1")
model = AutoModelForQuestionAnswering.from_pretrained("CambridgeMolecularEngineering/bert-base-uncased-scmedium-scqa1")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
epoch 3 step 324