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:
- f7b8ed83f7df6aa7ee3cb0bba11dc16108574a11092e44e54b8e1c8e141b39cd
- Size of remote file:
- 8.45 MB
- SHA256:
- ea92d9ab302343d83d1c74a7f44adf6b0b09631e76973c4cbcb45f98cf0a7a1c
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