Instructions to use ekimz/t5_ttmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ekimz/t5_ttmodel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ekimz/t5_ttmodel") model = AutoModelForSeq2SeqLM.from_pretrained("ekimz/t5_ttmodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1fb4ac1bcc39aba01555114ace7c4445b967152a6788507b48688950cd1f3bd
- Size of remote file:
- 242 MB
- SHA256:
- cd5c461ded32d646d9fd00ca72f855a0e1d6934b03fc2214d4ce871ae2e4440a
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