Instructions to use Linhz/AlphaEdu_ViT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linhz/AlphaEdu_ViT5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Linhz/AlphaEdu_ViT5") model = AutoModelForSeq2SeqLM.from_pretrained("Linhz/AlphaEdu_ViT5") - Notebooks
- Google Colab
- Kaggle
Delete training_args.bin
Browse files- training_args.bin +0 -3
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b45120183b5d7a3fd1b1120ecde68bed3abc08ba4dd9852412ce2e2cb3b01a89
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size 5048
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