Instructions to use hf-internal-testing/tiny-random-RobertaPreLayerNormForQuestionAnswering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaPreLayerNormForQuestionAnswering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="hf-internal-testing/tiny-random-RobertaPreLayerNormForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaPreLayerNormForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-internal-testing/tiny-random-RobertaPreLayerNormForQuestionAnswering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3019b20223735f9c8cd1f05280525c7609a35a3fe094a6d740ee08fedf87cc66
- Size of remote file:
- 462 kB
- SHA256:
- d920e1191f1bf4e1d279f6681bac07cadfd9a7d40c19fbe2a12650af11242b85
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