Transformers
PyTorch
t5
text2text-generation
text-2-text-generation
augmentation
paraphrase
paraphrasing
text-generation-inference
Instructions to use ibm-research/qcpg-sentences with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibm-research/qcpg-sentences with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ibm-research/qcpg-sentences") model = AutoModelForSeq2SeqLM.from_pretrained("ibm-research/qcpg-sentences") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened over 3 years ago
by
SFconvertbot