Instructions to use hf-tiny-model-private/tiny-random-NystromformerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-NystromformerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-tiny-model-private/tiny-random-NystromformerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-NystromformerForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3a6907d01b1ec4de734c1beffafdd4aa67a64f7e04b777491e89482fd695718
- Size of remote file:
- 4.08 MB
- SHA256:
- 0f3eff8f27068e4f804bc5dffc1756aac0eb6b3425b37082e2bce9dfebe3c50a
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