Instructions to use hf-internal-testing/tiny-random-IBertForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-IBertForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-IBertForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-IBertForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-IBertForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b75766cd26188cc0dcb40e6dac2cda1f4fb2271ff603c3987dd0168d2faee184
- Size of remote file:
- 813 kB
- SHA256:
- d2a717ad30bca255a4fc662d6509d7c558a700710df63ade07250953a4249ee7
路
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