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 tokenizer.json from hf-internal-testing/tiny-random-T5EncoderModel: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-T5EncoderModel/resolve/d9c13cb033f42da5c7f24b4d84218f9a836ecadc/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-T5EncoderModel@d9c13cb033f42da5c7f24b4d84218f9a836ecadc/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-T5EncoderModel/resolve/d9c13cb033f42da5c7f24b4d84218f9a836ecadc/tokenizer.json
2.42 MB
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