Instructions to use echarlaix/tiny-random-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use echarlaix/tiny-random-t5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="echarlaix/tiny-random-t5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("echarlaix/tiny-random-t5") model = AutoModel.from_pretrained("echarlaix/tiny-random-t5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39e8e3a5c9b14d2256bb690c6fcb397ebb791622e35a6512df6f1297e2037630
- Size of remote file:
- 4.49 MB
- SHA256:
- 2cdb4d76ad9c3b0b07db6145701314660641f941cfe984891d905fe7d0f5599e
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