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:
- c4fe269bc4acb28822180ba9a8ecef36a212734cb0e04b54d89de3223b63dc79
- Size of remote file:
- 361 kB
- SHA256:
- 70798efc6b8d0ddc98eb2649f0bd2e561d577ca523b0023ee5c1a17c79460ded
路
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