Instructions to use hf-internal-testing/tiny-random-LukeForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LukeForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-LukeForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LukeForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-LukeForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee8f79602dbd09fa28dc3da7c0fdbfddb12b6098b4490f443e34bdf4c26d6217
- Size of remote file:
- 6.81 MB
- SHA256:
- ac25494a65e05ce92f738abdadc90fba5935639320f323a3ff3ff96ce2543982
路
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