Instructions to use Chetna19/bert_large_subjqa_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chetna19/bert_large_subjqa_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Chetna19/bert_large_subjqa_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Chetna19/bert_large_subjqa_model") model = AutoModelForQuestionAnswering.from_pretrained("Chetna19/bert_large_subjqa_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a311c1d354c818d6a15678f60c0f82aa23b7cdbc9e1674ae35ae10737ef0b4ca
- Size of remote file:
- 1.34 GB
- SHA256:
- e8c26419b7c678accf0acea4b2a65e1dd646b4db1ef683e7d53ae735b0ae6cd3
路
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