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:
- 2416f3c23f2ebbb8fcc95d74640d8ae0f3e1dc5c976301227a0d671abb965623
- Size of remote file:
- 4.25 MB
- SHA256:
- 14655b5f49f4b925bbbda209f82bbb9451018c9f8df8d2ca9cf30935c77f6580
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