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/refs%2Fpr%2F3/pytorch_model.bin
- Command line
-
hf download hf://Verdiola/T5small@refs/pr/3/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Verdiola/T5small/resolve/refs%2Fpr%2F3/pytorch_model.bin
242 MB
- Xet hash:
- 6605fa4f239a3ad8beb32a17f5a69deec2c005b861246395d4a03935abe71c8c
- Size of remote file:
- 242 MB
- SHA256:
- 1eae31c2c79dc3a15cff371dcad03f86a699d0f09a38ec1226485d254ddfbcc3
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