This model is a fine-tuned version of deepset/xlm-roberta-large-squad2 on the milqa dataset.
Packages to install for large roberta model:
sentencepiece==0.1.97
protobuf==3.20.0
How to use:
from transformers import pipeline
qa_pipeline = pipeline(
"question-answering",
model = "ZTamas/xlm-roberta-large-squad2-qa-milqa-impossible",
tokenizer = "ZTamas/xlm-roberta-large-squad2-qa-milqa-impossible",
device = 0, #GPU selection, -1 on CPU
handle_impossible_answer = True,
max_answer_len = 50 #This can be modified
)
predictions = qa_pipeline({
'context': context,
'question': question
})
print(predictions)
- Downloads last month
- 2,638
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.