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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("echarlaix/tiny-random-t5") model = AutoModel.from_pretrained("echarlaix/tiny-random-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from echarlaix/tiny-random-t5: direct link, hf CLI and curl.
- Browser
- Download file 4.49 MB
-
https://huggingface.co/echarlaix/tiny-random-t5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://echarlaix/tiny-random-t5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/echarlaix/tiny-random-t5/resolve/main/pytorch_model.bin
4.49 MB
- Xet hash:
- 39e8e3a5c9b14d2256bb690c6fcb397ebb791622e35a6512df6f1297e2037630
- Size of remote file:
- 4.49 MB
- SHA256:
- 2cdb4d76ad9c3b0b07db6145701314660641f941cfe984891d905fe7d0f5599e
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