Instructions to use hf-internal-testing/tiny-random-T5EncoderModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-T5EncoderModel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-T5EncoderModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7a73ac0e1fcd735c4493855a902851696bc31d0d226f3573b6436aaf5eac414
- Size of remote file:
- 8.45 MB
- SHA256:
- 5fefe8749d16d2ac8bcd07bcb0f3fe1a36cbac5f7faa001a657c55eb5c316cf9
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