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:
- ba4519e1cf8032357624199d8e4f4aed1d9187686ab92b834d187eca8b3580f8
- Size of remote file:
- 361 kB
- SHA256:
- 0631abaaf2ea6dda4f9b68b47a07b10a5bc00f449dbde0840bee4cb4b3189143
路
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