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", device_map="auto")# 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
add model
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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{
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"_name_or_path": "QuickRead/pegasus-reddit-
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"activation_dropout": 0.1,
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"activation_function": "relu",
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"add_bias_logits": false,
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{
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"_name_or_path": "QuickRead/pegasus-reddit-7e05",
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"activation_dropout": 0.1,
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"activation_function": "relu",
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"add_bias_logits": false,
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:c75718cb2224141f332760f481637eaa16dbfce775521bf21ba1f1b8bc608419
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size 2283424755
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