google-research-datasets/tydiqa
Viewer • Updated • 241k • 4.33k • 35
How to use horsbug98/Part_2_XLM_Model_E1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("question-answering", model="horsbug98/Part_2_XLM_Model_E1") # Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("horsbug98/Part_2_XLM_Model_E1")
model = AutoModelForQuestionAnswering.from_pretrained("horsbug98/Part_2_XLM_Model_E1")This model is a fine-tuned version of xlm-roberta-base on the tydiqa secondary_task dataset.
More information needed
More information needed
More information needed
The following hyperparameters were used during training: