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:
- 26138585c1838ba5bc48d283149b8a271eb6aaccb45859bbdd88660285ae9f8a
- Size of remote file:
- 3.11 MB
- SHA256:
- 550a6626c4d6d83dd535a85ad47db59ee9ea7c02b359b1ab4fb4f591f245707e
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