Instructions to use l3cube-pune/marathi-question-answering-squad-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use l3cube-pune/marathi-question-answering-squad-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="l3cube-pune/marathi-question-answering-squad-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("l3cube-pune/marathi-question-answering-squad-bert") model = AutoModelForQuestionAnswering.from_pretrained("l3cube-pune/marathi-question-answering-squad-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model card
#2
by nielsr HF Staff - opened
This PR updates the model card for linking it to the correct paper, as well as ensures a link to the Github repository is specified,
and makes some other formatting adjustments.