Instructions to use hf-internal-testing/tiny-random-LongformerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-LongformerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-LongformerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-LongformerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-LongformerForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2737de3384b259ee26fd63744d5ab6c0e098ae006c1b31ecdce568ba65467be
- Size of remote file:
- 437 kB
- SHA256:
- 45dd1f519a1b3137e8a6aed4229f75bb93cc0c1138ad159d53c43ad1f8cd72bb
路
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