Instructions to use hung200504/bert-28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-28 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-28")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-28") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-28") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c27dc5e5459d1efd0dfe5888853777b42e1c8104b4c201038e370ab28aeef03
- Size of remote file:
- 4.03 kB
- SHA256:
- 060574ebd573ff8eb9dea5e2fdbed1aa8a907add09f5445aaa04379d79c1aaf1
路
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