Instructions to use Chetna19/bert_qa_model_electronics_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chetna19/bert_qa_model_electronics_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Chetna19/bert_qa_model_electronics_1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Chetna19/bert_qa_model_electronics_1") model = AutoModelForQuestionAnswering.from_pretrained("Chetna19/bert_qa_model_electronics_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18ca4900cde7007625ca89043e0d3f2940059db07c0972706ae4db72fca87d28
- Size of remote file:
- 1.34 GB
- SHA256:
- 2ef32d49fa1afb3cf5b535ee3cb92d434e0e0b7f7fffcf4e7b800944af0deb5d
路
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