Instructions to use hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel 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-RobertaPreLayerNormModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41746abf1cfb324d8ea0aa648349f32d7a671c9d2b7177af06e737aeda16b9ff
- Size of remote file:
- 466 kB
- SHA256:
- dc7f24ccd426fde78d72a2bfba4afd4b114b02de187060bb1f5831b8abeab766
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