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:
- 8c25eea04c97b2bc8695f6d6e58f92bbc5be4eb44f60397c534bbe1f5e019b00
- Size of remote file:
- 8.45 MB
- SHA256:
- 01ca85a3fe7fc56f7a89b3088e4bd286561a3d0f17cb8ea0bcd294ef1a156d55
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