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:
- dda324b0424c816cbffe34570ed39902f41395cc9e0bf0674bccc6aa882f2ba3
- Size of remote file:
- 4.25 MB
- SHA256:
- 951dfe47e58c4f67ebe0e583b46095e5c4cd7d1ca0ca38682f7d7dbe4b01d207
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