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:
- b64759c460fa08a3b8b6610f4805014496c18b06b003bf5fb8bb293ce3311f6c
- Size of remote file:
- 8.45 MB
- SHA256:
- a44cd59c4a8d54e471db94bd737616ad45df6894de2fa0882c9dde04c516c3eb
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