Instructions to use Yuchen/muril-large-cased-hita-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yuchen/muril-large-cased-hita-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Yuchen/muril-large-cased-hita-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Yuchen/muril-large-cased-hita-qa") model = AutoModelForQuestionAnswering.from_pretrained("Yuchen/muril-large-cased-hita-qa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Question Answering model for Hindi and Tamil
This model is part of the ensemble that ranked 4/943 in the Hindi and Tamil Question Answering competition held by Google Research India at Kaggle.
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("Yuchen/muril-large-cased-hita-qa")
model = AutoModelForQuestionAnswering.from_pretrained("Yuchen/muril-large-cased-hita-qa")
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