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:
- 0876872ecca30bfc17d40eac9f74a7a9b9fd3fae69dd865aa54c7303d8b7c635
- Size of remote file:
- 4.25 MB
- SHA256:
- 6c30b9b120627ac86e35da203bf82a9204dfb11af19ef7373c820b2f6faa1c3f
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