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:
- 76d40b6fe80f40095a460e12591a944c18600a67b8a97d487fed65bba5f4d9eb
- Size of remote file:
- 4.25 MB
- SHA256:
- 404a967c723dd2f1584b4ddd91215b5aca379080af28ce6ef6f89b0fdb653cf5
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