Instructions to use iSayli/SilverLining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iSayli/SilverLining with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("iSayli/SilverLining") model = AutoModelForSeq2SeqLM.from_pretrained("iSayli/SilverLining", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93d096fa1168794ed2f3a4fd1815296d1a0313cfba8869fef227cfdb01c691b9
- Size of remote file:
- 1.63 GB
- SHA256:
- 8ab4e6286db3e6ce1f534c0d91ebf8a26f3632bb58b03350ae13afb3ea1445e8
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