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:
- cea510137f927d96e6d21915e28d62aa3f5d27a701db43d48950b64c29a1e13b
- Size of remote file:
- 4.25 MB
- SHA256:
- 22f57fce9a0ff1916b47fbcedb8e39e67f63a64d9c68e4e667411b2e95cdcb6b
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