Instructions to use QuickRead/Reward_training_Pegasus_reddit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuickRead/Reward_training_Pegasus_reddit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="QuickRead/Reward_training_Pegasus_reddit")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("QuickRead/Reward_training_Pegasus_reddit") model = AutoModel.from_pretrained("QuickRead/Reward_training_Pegasus_reddit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3287c45b1f614196d6cc9557ea24e54a7063e731631ec17afeb3b951dd48e6b2
- Size of remote file:
- 2.28 GB
- SHA256:
- c75718cb2224141f332760f481637eaa16dbfce775521bf21ba1f1b8bc608419
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