Instructions to use Ray2333/gpt2-large-harmless-reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ray2333/gpt2-large-harmless-reward_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ray2333/gpt2-large-harmless-reward_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ray2333/gpt2-large-harmless-reward_model") model = AutoModelForSequenceClassification.from_pretrained("Ray2333/gpt2-large-harmless-reward_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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