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 model.safetensors from hf-internal-testing/tiny-random-T5EncoderModel: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-T5EncoderModel/resolve/refs%2Fpr%2F38/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-T5EncoderModel@refs/pr/38/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-T5EncoderModel/resolve/refs%2Fpr%2F38/model.safetensors
4.24 MB
- Xet hash:
- c7b88d1809de3c64b8f0368fb50b37fa4e5efd14e05e5f2671fd6d2674b6073c
- Size of remote file:
- 4.24 MB
- SHA256:
- b319432d3868f8d3118479cdeb3be49ee5647e4f1b700b84d7deea92e90282cd
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