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:
- db44a11b9c7d6c460a460dd7c85e378827bd6cacfe90207cc5039292d90717cc
- Size of remote file:
- 4.25 MB
- SHA256:
- 9f2cc2c2189bfaeaaf3d8378946c23c97292bcde9a7d87b7ad19ac51f90c8eab
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