Instructions to use hf-internal-testing/tiny-random-roformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-roformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-roformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02bbf06dff7a016ddc0b72efd71ae97a910cac1cddfa65c8a07885661420c1b0
- Size of remote file:
- 282 MB
- SHA256:
- 7694662cc647e60a05bbba4f42c9e64083d438f6244bf442ef6599a19eb3724e
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