Instructions to use Devishri1/test_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devishri1/test_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Devishri1/test_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Devishri1/test_bert") model = AutoModelForQuestionAnswering.from_pretrained("Devishri1/test_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09c594598a78ded9e826ebbbca64b0450b5183434df9537dcfd356ac8f754260
- Size of remote file:
- 709 MB
- SHA256:
- fe1606bf785a7ce4852eb3d260fae1dbe05164b15c12f6330dc16a41c455633c
路
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