Instructions to use hf-internal-testing/tiny-random-RobertaPreLayerNormModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RobertaPreLayerNormModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-RobertaPreLayerNormModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RobertaPreLayerNormModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-RobertaPreLayerNormModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5953fcba9a56d0dfba0d3a3634d3236633976d194c7b9b9d4ec8b665597a57be
- Size of remote file:
- 371 kB
- SHA256:
- 989a63cbf1fa092a198247afb558ea3facd63432230a0b48f47b7440c8713e9d
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