Instructions to use shakun42/indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shakun42/indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="shakun42/indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("shakun42/indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm") model = AutoModelForQuestionAnswering.from_pretrained("shakun42/indic-bert-finetuned-BanglaRQA-to-squadbn-fact-confirm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44dff07b36a97273c7a08755b8110316bd1b8d0e7998c6ab9613265fd40302ba
- Size of remote file:
- 5.18 kB
- SHA256:
- 33f9cbe589afdf7b67ece7ee2cb033d2bab535ec8589fdec17dc4dad89a808d0
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