Instructions to use versae/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/outputs with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("versae/outputs") model = AutoModelForSeq2SeqLM.from_pretrained("versae/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53918fee5b6f1116de7332fd65e47747278ea1bf68942d8aff63b5abfc2f50c8
- Size of remote file:
- 3.13 GB
- SHA256:
- b3e7ddf35670daf2dfe810846ff78d362bb102a014d4482a9722fea8f5b2a946
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