Instructions to use srcocotero/tiny-bert-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srcocotero/tiny-bert-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="srcocotero/tiny-bert-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("srcocotero/tiny-bert-qa") model = AutoModelForQuestionAnswering.from_pretrained("srcocotero/tiny-bert-qa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cec812a4baa48353e39423108b9d9389f7c4deeb93180c910bb1147ff65624c4
- Size of remote file:
- 3.38 kB
- SHA256:
- 8691ea529d179cfb8c984c0db4d18d2f05909ebf06ab2233d4c3a05daaee25fe
路
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