Instructions to use Saddammm/Model300T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saddammm/Model300T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saddammm/Model300T5") model = AutoModelForSeq2SeqLM.from_pretrained("Saddammm/Model300T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload rng_state.pth
Browse files- rng_state.pth +3 -0
rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d7378be4dd0c5a2f25b3d76fa3d21c22dd41bc94d4f8aaf612b2b69f6093c8d
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size 13990
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