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:
- 7c5a250b6e5516895c6f1454e722b09f4cca4c4712d1fd33d6b2f009438812fb
- Size of remote file:
- 4.25 MB
- SHA256:
- 00e444b98375d0199aedff6eeaa5f6ff8378aee9098505d24baeb0df97a2f0cd
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