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:
- 177a75084c212af0b1e5fafe0247c0c09bcb150d2f6f0ef800f13202937aafd9
- Size of remote file:
- 353 kB
- SHA256:
- 5a15eda6318187a8e26037efa7662f9af91a18e4e293d439504f37824a37817b
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