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:
- c056c7a7d9ef3b1c88d78c7ab9f06e35c1dd2131d14267c10e53482511fa4b9e
- Size of remote file:
- 4.25 MB
- SHA256:
- 0d04dfa0d84d0271c00c5826f56c3d45e64ab5d1772f537352686cd1bcab811f
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