Instructions to use hf-internal-testing/tiny-random-NystromformerForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-NystromformerForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-NystromformerForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-NystromformerForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-NystromformerForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f0b8747e772d8bcd94294002c9d779d75b3c1150adbb240f1eafadedf91e692
- Size of remote file:
- 4.08 MB
- SHA256:
- de4c9c40578018574725090432aab7cec92cd8cf00e9f4a9f15ece45f43d11d7
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