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:
- bb6481e9620c7f5521f53d75b0ec420adcef57a518379b00e0075d0ad9d86473
- Size of remote file:
- 8.45 MB
- SHA256:
- 97dd1933f216c28c7db9c897d8f5b8e79dbc266f7a55690dfc18917e1b4e409d
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