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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de2a4c0e7a76e85fe100ed73a88809b512edaa62e0a10ad86d174b18e92ad206
- Size of remote file:
- 353 kB
- SHA256:
- 8c45e69dd9ef28e5222254567a0b3ab3e278c32b9f9dc06026f34fb312f0d624
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