Instructions to use hf-internal-testing/tiny-random-RoFormerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoFormerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-RoFormerModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoFormerModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-RoFormerModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 375832b353cebf294fd13c7d6062da652a77c8375f31878f72f4c92ba18ef5e6
- Size of remote file:
- 6.67 MB
- SHA256:
- 3857f2837ba36cdc23a6ca604dcfb4dd1688f89bb78fa1d84239f7ce92c87114
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