Instructions to use QuickRead/Reward_training_Pegasus_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuickRead/Reward_training_Pegasus_xsum with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="QuickRead/Reward_training_Pegasus_xsum")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("QuickRead/Reward_training_Pegasus_xsum") model = AutoModel.from_pretrained("QuickRead/Reward_training_Pegasus_xsum") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("QuickRead/Reward_training_Pegasus_xsum")
model = AutoModel.from_pretrained("QuickRead/Reward_training_Pegasus_xsum")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="QuickRead/Reward_training_Pegasus_xsum")