Instructions to use Verdiola/T5small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Verdiola/T5small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Verdiola/T5small") model = AutoModelForSeq2SeqLM.from_pretrained("Verdiola/T5small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Verdiola/T5small: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/Verdiola/T5small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Verdiola/T5small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Verdiola/T5small/resolve/main/pytorch_model.bin
242 MB
- Xet hash:
- b236ce4bba8d3bf84ca47a134d7cfd97b3ca5790ef11632a086e33a827a0930b
- Size of remote file:
- 242 MB
- SHA256:
- 70501e3d66fc3cb73ffc81cad208d9d252f6bba1cbc1db188994e62337f1c16d
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