Instructions to use hung200504/bert-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/bert-7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/bert-7")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/bert-7") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/bert-7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 022d429b8039b9ee851c13996cb3242ef195a98461e722a2aac3eb8e14113208
- Size of remote file:
- 4.09 kB
- SHA256:
- 0699f73b55dda927f535c64d4554ab90f8dc45043865c98de25e9dbec77c3916
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