Instructions to use google/t5-v1_1-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/t5-v1_1-xl with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("google/t5-v1_1-xl") model = AutoModelForSeq2SeqLM.from_pretrained("google/t5-v1_1-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75ae2666b52ac0c05e803b6b708d304a9718cea1c333fdde31cf51ab45aea564
- Size of remote file:
- 11.4 GB
- SHA256:
- 72be4ab4cb05720c91e72995ad26fb5e2785fc1648c80ad0561c45ce432447fc
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