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:
- 7afb3029c8efb20a46b08be458dc11e8b91071ecfd382f910b1d80ae369cd042
- Size of remote file:
- 3.58 kB
- SHA256:
- 1d6e822335968338fba3e012b6fffa54004207944530f6dc8f909395e78e0925
路
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