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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ ---
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+
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+ GPT-J for preference modeling
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+
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+ - Dataset: https://huggingface.co/datasets/reciprocate/oasst_hh_shp_hellaswag_webgpt_rm_dataset
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+ - Logs: https://wandb.ai/sorry/autocrit/runs/y9des5kz
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+
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+ Usage:
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+
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+
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+ tokenizer = AutoTokenizer.from_pretrained("reciprocate/gpt-j_rm_format-oa", revision="501f895")
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+ model = AutoModelForSequenceClassification.from_pretrained("reciprocate/gpt-j_rm_format-oa", revision="501f895")
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+
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+ input = "<|prompter|>Are you lying right now?</s><|assistant|>I am :)</s><|endoftext|>"
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+ score = model(**tokenizer(input, return_tensors="pt"))[0]
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+ ```