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:
# 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
- Xet hash:
- c280cbfe97eca0495d667c42b21eaa6aa117f334b7374445513849fa01828e50
- Size of remote file:
- 4.03 kB
- SHA256:
- 20c19f150fdb52024aa90baf6f327436aaef4d9e0ad633bf7ec8c012b8d04c3f
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