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:
- a507026cd374bff57e45d5fb5e46745157950737ec750293d2f4f159b3ce10e6
- Size of remote file:
- 14.5 kB
- SHA256:
- 417402bdbeee8cebce35d8609638895ece35c1365ff1c2d54d09120a73b4208c
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