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 training_args.bin from Verdiola/T5small: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Verdiola/T5small/resolve/refs%2Fpr%2F2/training_args.bin
- Command line
-
hf download hf://Verdiola/T5small@refs/pr/2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Verdiola/T5small/resolve/refs%2Fpr%2F2/training_args.bin
4.03 kB
- Xet hash:
- 6ebd866bf47ab8dfb4ed3421280564ab80b9c173a0e33d678d6141c6cc35db9e
- Size of remote file:
- 4.03 kB
- SHA256:
- 6a334579814d19a6fd1b6a4418f2855df07279360dcaf19fb89f1b48a2c907a4
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