Instructions to use hung200504/bert-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-21")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-21") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4b9d93b977cb3421df1f823e883d1b633f18d056e48fd9554f7d8dbd6b69368
- Size of remote file:
- 431 MB
- SHA256:
- 5ea3b83c677987d5df8130bf6cdb41d4b229587f4b9b1992b8f45c6b330fa0cb
路
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