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:
- 1baabd247db73268988288cb2589d838b65b3c9493c059bdc55382a6cf992167
- Size of remote file:
- 4.25 MB
- SHA256:
- f6657bb7c3a5449c760b9e9130f89ed31296b6b1980f505ec5d7d36cfda2fd16
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