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:
- d53ce50a023a6b1431c3ff69d44983bb0f5bfcf18291c5b837867db7cb9e8c4b
- Size of remote file:
- 8.45 MB
- SHA256:
- 4a91d3acde983bd77fbec452b7622e6057e00908db473cd691f69e6a0d97d71c
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