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:
- feafafdb5bfc4289f26ad5c946167b70734fbd319c44a1cc506545e4903c3f3a
- Size of remote file:
- 4.25 MB
- SHA256:
- 5130270a6d9c4f63053bc49a51df28436bafe87e19c650a8e431bd02d7a5bfeb
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