Instructions to use hf-internal-testing/tiny-random-SplinterForPreTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SplinterForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-SplinterForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-internal-testing/tiny-random-SplinterForPreTraining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb4d7403f6aeca4a4b444e1c959982a98f4c72f4c3b84e0616b57e2790bf8bde
- Size of remote file:
- 3.98 MB
- SHA256:
- 9cde9293b4da803b627b8bce0c9b1dc442cc5d14caa69f69431f9772a21cf484
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