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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a90beb3b9af84f8f5bae09ee4fb7601de00e1d7a110130ef7c446c8964375370
- Size of remote file:
- 350 kB
- SHA256:
- 21e81eaa8c888209ca29839782a7aa3f76b46edb92e1c5aeecf2172f5feb7894
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