Instructions to use hf-internal-testing/tiny-random-ReformerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ReformerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-ReformerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ReformerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-ReformerForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14f04e05af4f0de6c9df4c98087cfbcce568cdd2c65361c3ef7817aca1a2664c
- Size of remote file:
- 363 kB
- SHA256:
- da74c3ff24a760046c6da5f53ce2d64cee63de917acd4cb627820efde64174ff
路
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