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:
- 068a42700283c076494229685401e7e87b4b57b591a2d9c1bc69a4f7b9efe552
- Size of remote file:
- 4.25 MB
- SHA256:
- b323d8444caf3d1de7c8bf09335d73b95ccc8b49bcf7987bf40d33456a07f0fe
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