Instructions to use RDCPP/bart_en2de_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RDCPP/bart_en2de_training with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RDCPP/bart_en2de_training") model = AutoModelForSeq2SeqLM.from_pretrained("RDCPP/bart_en2de_training") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr24_07-17-49_gpusvr102003
- Apr24_07-19-38_gpusvr102003
- Apr24_07-20-07_gpusvr102003
- Apr24_07-21-59_gpusvr102003
- Apr24_07-22-26_gpusvr102003
- Apr24_07-25-38_gpusvr102003
- Apr26_03-35-54_gpusvr102003
- Apr26_03-45-53_gpusvr102003
- Apr26_04-59-08_gpusvr102003
- Apr27_05-09-40_gpusvr102003
- Apr27_06-45-41_gpusvr102003