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:
- 1cb49d24c7b3a788c40446ea4256de857dca1aacc30fc32c782c59444512a38d
- Size of remote file:
- 8.45 MB
- SHA256:
- 0f7517f1f6686ec0c245b3bbd1a653483aa81f1aa15d19831648a3c3f331205a
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