Instructions to use bradmin/reward-gpt-duplicate-answer-300 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-gpt-duplicate-answer-300 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-gpt-duplicate-answer-300")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-gpt-duplicate-answer-300") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-gpt-duplicate-answer-300", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Model save
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Training in progress, step 500, checkpoint
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Training in progress, step 500
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Training in progress, step 300, checkpoint
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Training in progress, step 300
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Training in progress, step 100, checkpoint
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Training in progress, step 100
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initial commit
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