Instructions to use hung200504/test-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hung200504/test-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hung200504/test-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hung200504/test-bert") model = AutoModelForQuestionAnswering.from_pretrained("hung200504/test-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e93e8b916d099702e65c296fca5b066d1bfc9061a701d5ca9524d4211a70ffe
- Size of remote file:
- 4.54 kB
- SHA256:
- b2a402bc184883781e9916232f77c97a71cc00e7faa2d565a4e096bcc479eb6d
路
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