Instructions to use hf-tiny-model-private/tiny-random-SplinterForPreTraining 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-SplinterForPreTraining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-SplinterForPreTraining") model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-SplinterForPreTraining") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abb69259d2462fa3a0a91af1c04f508dfd275c22ffc9b65d8315e259c2b54b59
- Size of remote file:
- 3.98 MB
- SHA256:
- fdaa12119a65ff7e4acff7cb88136ba5a4dece18e13985a2ba673dd74ad97b3f
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