Instructions to use hung200504/bert-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-16")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-16") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45fb1b4e40feae979f281e96d755521d49f4cbe4c6aaa2c2245847be40eef0ba
- Size of remote file:
- 431 MB
- SHA256:
- 25a6cd51c32f7991fb93c305b5171477e35279a3ac2c7a4635355d5e3cadb6dc
路
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