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:
- e88c94724b4a9be7c520915546ff811f0ce158f3fd69dd1d24bee49fd43f6d30
- Size of remote file:
- 4.25 MB
- SHA256:
- 8b69f69983ddf6f3fc743da369b85b75d25e7f4c7a395e3472754fbcfc0d044d
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