Instructions to use uclanlp/plbart-single_task-weak-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-weak-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-weak-generation") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-weak-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1b58955d3af2696abaa1458fb883850de49c6134691fa4242415a1dc69c033c
- Size of remote file:
- 557 MB
- SHA256:
- eff1392d28cdd9063f661916c47ed80f4e958ce7bfbf6ad5b4a9c7f4f44d78ed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.