Instructions to use hf-tiny-model-private/tiny-random-TvltForPreTraining 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-TvltForPreTraining with Transformers:
# Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("hf-tiny-model-private/tiny-random-TvltForPreTraining", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c0d9db0cb4753fb8b20c5bbe7ea4de6140ababeff5158c99fb3c4292f82c7df
- Size of remote file:
- 5.46 MB
- SHA256:
- 09b3bff4818e9fbb56880a323ec093f7de5c0fc5fad40b67689950a50e7df97b
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