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:
- 9d63ecb02e394c325e673432cce67a366240e890bd54d6a370a141b71f4e034d
- Size of remote file:
- 4.25 MB
- SHA256:
- 8a28e8848ca60fbe5f15f5682c993132553f2ab8a8a5d59dbcfd48883267235c
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