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:
- 06333c0e632ee29e5ee2df329a4fe621780d2097187d7dc0dfa16bf25f009fa4
- Size of remote file:
- 8.45 MB
- SHA256:
- ff68b05ebbfe040b5506ffd6a679e50e21d0af1218b5a04b623c562a9abbb817
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