Instructions to use uclanlp/plbart-single_task-en_php with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-single_task-en_php with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-single_task-en_php") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-single_task-en_php", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 087a051728f4cdece118e400012704b633e24af270e719cc9347d497aa849620
- Size of remote file:
- 557 MB
- SHA256:
- 81b156fd911a131341f3df21897983eaf9a70c09d0e7274d3496dbbf63e883c4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.