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:
- f9c9d00385af53bb85074a724e6c4470527877f6461169ae1db7742a113caf5a
- Size of remote file:
- 623 Bytes
- SHA256:
- 799a21709c77fdfd4df1c45732a8afdf05c09f3a4779d30e1025cf313e7a67e7
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