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:
- dcd419555b5d3f57a2cfddde05f1a864c43ee586c319d8a264184b5d001aa163
- Size of remote file:
- 4.31 MB
- SHA256:
- 7b11dbba616336e33dfc1cd58f19769ac41eee0cd0f651ce8f113d933d4ea3e8
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