Instructions to use hung200504/bert-24.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-24.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-24.2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-24.2") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-24.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfa333f3c5d34d9e6ec1575510dbb2e8ed212f138bb4ef33e875ce2f5c9918ed
- Size of remote file:
- 431 MB
- SHA256:
- b562e57aa0869208dedd787ff804d59a24f8836e8e47054ddd84e0f9fd6d310b
路
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