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:
- b8005d61dbd351293ec4e5933c5dde3ccacab6c22c832b3552b406a6bd9195c7
- Size of remote file:
- 4.25 MB
- SHA256:
- e6d4529274f2848c343d51a72c67c998e30c6327e293a185fb81d18a3eda674e
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