Instructions to use hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering 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-RobertaPreLayerNormForQuestionAnswering 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-RobertaPreLayerNormForQuestionAnswering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering") model = AutoModelForQuestionAnswering.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormForQuestionAnswering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e62f1271c857c3173cca38ce6eaf4168ef6aa4d3e4782967efc655152c210576
- Size of remote file:
- 369 kB
- SHA256:
- fdfe741c6e1e783d837b85698355f5540cd48be8eeac0cf2e27d54ad158c28e8
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