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:
- 8ac80ac9dc0d75839768ab5616f840d771c7b5a80068d6db6593d0c4e1289829
- Size of remote file:
- 8.45 MB
- SHA256:
- a01707deba631eed3a21a5c2763b8968b4c067a6562f255e398126d61c58aca5
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