Instructions to use Yama/yamavi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yama/yamavi with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Yama/yamavi") model = AutoModelForSeq2SeqLM.from_pretrained("Yama/yamavi") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:96c90509f86598009719b3b8a53b5ca40a51be2d782d9c02aa889189e5e56c0f
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size 623
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