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:
- 90cb06c9f5404fc6f25767c6b7e508424d8c1e1db8626fe6cb253b3d097b9e70
- Size of remote file:
- 4.61 MB
- SHA256:
- 96816b182a88970f8d88fd8bca010fbf464a9340764eebbed05ae2ac86d06368
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