Instructions to use Medissa/t5_full_answer_augmented_epoch3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Medissa/t5_full_answer_augmented_epoch3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Medissa/t5_full_answer_augmented_epoch3") model = AutoModelForSeq2SeqLM.from_pretrained("Medissa/t5_full_answer_augmented_epoch3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64202254113b6c923592572d346702b6a9d18c0110af6187a77ceac2f42cbeed
- Size of remote file:
- 3.13 GB
- SHA256:
- cfed0423866ece795f6aa3a84c5931c05fdc431a1a8f5dc76cb882723ad42835
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