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:
- 132c22d634c2e5bbc825569b843d8c8c4340d88c4466fe0ebf2bb6cef1c8c1fc
- Size of remote file:
- 474 kB
- SHA256:
- e9072db224ede01fa1a9796c259b111f8aec9b03ebf060750e3a7b6753e92f11
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