Instructions to use rizkyds/bert-phb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rizkyds/bert-phb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rizkyds/bert-phb")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rizkyds/bert-phb") model = AutoModelForQuestionAnswering.from_pretrained("rizkyds/bert-phb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23150d700a89ad79e056e93dbc7b9b7a4098b970e6911d28d3a8ae5a167d618a
- Size of remote file:
- 440 MB
- SHA256:
- 4099992caf7406fbfa51bdc28ea15c29f08cad801c6edec07b080d31cd51c7d9
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