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:
- bf400af17d5d200f7e90ef91193a226714a0fd4f79f5aa77028b8721ac42cf88
- Size of remote file:
- 880 MB
- SHA256:
- d50ae556ce3fd9d1a2774cf9179d5c33a1e70d3f5962de9d352d6b8f7e4abcfa
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