Instructions to use shakun42/indic-bert-finetuned-squadbn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shakun42/indic-bert-finetuned-squadbn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="shakun42/indic-bert-finetuned-squadbn")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("shakun42/indic-bert-finetuned-squadbn") model = AutoModelForQuestionAnswering.from_pretrained("shakun42/indic-bert-finetuned-squadbn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b4d9ffd8a6688f3893ff96e499a9d0994f4d0a98c159fadc65e921bb4db08f
- Size of remote file:
- 131 MB
- SHA256:
- 39b3b9aad9f13b685a8592713af3c2744b46da39202f6003915be9fbf78d8d81
路
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