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:
- bfa344aae83e2fcae1db9f623f78ddb07235057ef58a0ba89d8823f5760c5d45
- Size of remote file:
- 466 kB
- SHA256:
- 38f087c4dcf1b914efa82bc872369debdcfd064be91492b5d776d2e78955e2d0
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