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:
- d26fb6acf13d7556c8fa5fc3771bc9ad8657fd08f9def6902fc93e71524ec15a
- Size of remote file:
- 8.45 MB
- SHA256:
- a918854d84fc939b3e9eb28eff62d775c529cb49daf36e961db5ccd2c44165e7
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