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:
- 2d55454d7ff704b4ebcc5a907bff54c8f0f3ed7c5503a7330fa3b5a96789fb39
- Size of remote file:
- 8.45 MB
- SHA256:
- 82516405bba0681a1c147b7fdee393d5b4e137ca016a8c9279fe5a4703516d1d
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