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:
- c3a0b1588199b53a312b11838f5974e9f8ccffe33c30a0799addba7a4f9c8a80
- Size of remote file:
- 4.03 kB
- SHA256:
- 524e4c07e0478ccb71f9b200e912f6eeec1cf0a1147b489ec02ff8e58cb16595
路
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