Instructions to use faprika/led-base-bugfixing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faprika/led-base-bugfixing with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("faprika/led-base-bugfixing") model = AutoModelForSeq2SeqLM.from_pretrained("faprika/led-base-bugfixing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e61d58e638db17fe2d5fb1c9ed5510f09da905f8fcce322df234d3f79b5be899
- Size of remote file:
- 648 MB
- SHA256:
- 0d2121c2a2b225ac805cc134c01ed45e41d43bf11e1bf386daf688683ff5e20f
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