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:
- 1ad0c44fc7b1e960bc55aad949f0aea90a26f46bced3c97e8216f10364c3fc25
- Size of remote file:
- 8.45 MB
- SHA256:
- f0d934865d0dcf314b3f097324000ace46d9eb597e964240373760d14fd3be10
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