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:
- d7a3010d08a7baeee4f80ffbd9ec89ff3f58528d0a1fbb5018837276e86b7d80
- Size of remote file:
- 4.46 MB
- SHA256:
- 3911dd302e7f236df6e4830e8601bfa3a13c8b703607016939d57186b1dbc4ef
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