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:
- 16f40226aa2e702ed86a0b9f9242865404f4274903fa7735ede24ba606c2a82d
- Size of remote file:
- 371 kB
- SHA256:
- 02c4a1817550c6a89a16f93f9121823eb74986442e979503a5c83861c63babbf
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