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:
# pip install -U transformers accelerate # 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
Download pytorch_model.bin from hf-internal-testing/tiny-random-T5EncoderModel: direct link, hf CLI and curl.
- Browser
- Download file 4.25 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-T5EncoderModel/resolve/1c75090036a2b3740dfe2d570b889332ad8e59e8/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-T5EncoderModel@1c75090036a2b3740dfe2d570b889332ad8e59e8/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-T5EncoderModel/resolve/1c75090036a2b3740dfe2d570b889332ad8e59e8/pytorch_model.bin
4.25 MB
- Xet hash:
- a0d13c5a0f057fca2dc492f25be5060883279498d052e00a91538cb14daad032
- Size of remote file:
- 4.25 MB
- SHA256:
- 624647f827f2531f4a87c765b20ad90414f46d747c059cd3858936701e433eea
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