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:
- 76e35666d48713fc019b0867af80f7b817292db009f52f3aa48c5f81502819be
- Size of remote file:
- 4.42 MB
- SHA256:
- bd3c0d72aa2eeeabdb4b45c2113584b87c55178e410a92142ccd9ccc79134ed6
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