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@@ -7,7 +7,7 @@ language:
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  GPT-J for preference modeling
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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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  Usage:
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@@ -18,5 +18,10 @@ tokenizer = AutoTokenizer.from_pretrained("reciprocate/gpt-j_rm_format-oa", revi
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  model = AutoModelForSequenceClassification.from_pretrained("reciprocate/gpt-j_rm_format-oa", revision="501f895")
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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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  ```
 
 
 
 
 
 
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  GPT-J for preference modeling
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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?workspace=user-sorry
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  Usage:
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  model = AutoModelForSequenceClassification.from_pretrained("reciprocate/gpt-j_rm_format-oa", revision="501f895")
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  input = "<|prompter|>Are you lying right now?</s><|assistant|>I am :)</s><|endoftext|>"
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+ model(**tokenizer(input, return_tensors="pt"))[0].item()
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  ```
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+
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+ Output:
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+ ```python
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+ -4.877448558807373
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+ ```