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RLHFlow
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RewardModel-Mistral-7B-for-DPA-v1

Text Classification
Transformers
Safetensors
mistral
custom_code
text-embeddings-inference
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Haoxiang-Wang commited on
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Update README.md

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@@ -42,7 +42,7 @@ Here is a sample code that you can try
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  from transformers import AutoModelForSequenceClassification,AutoTokenizer
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  import torch
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  device = 'cuda'
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- path = "Haoxiang-Wang/RewardModel-Mistral-7B-for-DPA-v1"
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  rm = AutoModelForSequenceClassification.from_pretrained(path, trust_remote_code=True).to(device)
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  tokenizer = AutoTokenizer.from_pretrained(path)
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  from transformers import AutoModelForSequenceClassification,AutoTokenizer
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  import torch
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  device = 'cuda'
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+ path = "RLHFlow/RewardModel-Mistral-7B-for-DPA-v1"
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  rm = AutoModelForSequenceClassification.from_pretrained(path, trust_remote_code=True).to(device)
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  tokenizer = AutoTokenizer.from_pretrained(path)
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