Instructions to use google/t5-v1_1-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-small") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d8970e9896bf58226cc5ccd62d5f90431ce1d716a3d5079c8bf05dc30475730
- Size of remote file:
- 308 MB
- SHA256:
- 1b8a7af8c213e17c145f33f41cd5c8904ca56c9a2165ef2ed03d02bf5cb7c755
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