Instructions to use Falconsai/question_answering_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/question_answering_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Falconsai/question_answering_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Falconsai/question_answering_v2") model = AutoModelForQuestionAnswering.from_pretrained("Falconsai/question_answering_v2") - Notebooks
- Google Colab
- Kaggle
Can I use this model for multilingual Question -Answering?
#1
by Ashwariyaaaaaaaa - opened
Hi
I am working on extracting information from documents in different languages. I want to understand how accurate this model is?
Apologies, but it will under perform on non-English text as this model was trained on an English only dataset.
RealFalconsAI changed discussion status to closed
Thanks for the reply.
I agree, I did try on French and Spanish dataset and it did you provide a good answer but for English text it is working well.
Thank you, we will try to train a multi-lingual model soon.