Instructions to use hf-internal-testing/tiny-random-MobileBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-MobileBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MobileBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-MobileBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c6a8b60d64d8461e38eb5e12249f8e6e346b52548497dfe6eda31712eb18298
- Size of remote file:
- 2.85 MB
- SHA256:
- add44aa75d83b81f1d760790da3c2d74b52207e3065acc72be19e88e64b8bc66
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