Instructions to use hf-internal-testing/tiny-random-BertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-BertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-BertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f96bd7b44aad3383572d672074552e192e335694963c99b688eb8f82e872ebf5
- Size of remote file:
- 380 kB
- SHA256:
- f19ad6b129075845e764029e1a67acfdb701fd4be3d66ffedada4e17fe3f349a
路
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