Text Classification
Transformers
PyTorch
English
deberta-v2
reward-model
reward_model
RLHF
Inference Endpoints
theblackcat102 commited on
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7dab415
1 Parent(s): 6701392

Fix example typo

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  1. README.md +1 -1
README.md CHANGED
@@ -36,7 +36,7 @@ All models are train on these dataset with a same split seed across datasets (if
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  # How to use
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  ```
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- from transformer import AutoModelForSequenceClassification, AutoTokenizer
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  reward_name = "OpenAssistant/reward-model-deberta-v3-base"
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  rank_model, tokenizer = AutoModelForSequenceClassification.from_pretrained(reward_name), AutoTokenizer.from_pretrained(reward_name)
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  question, answer = "Explain nuclear fusion like I am five", "Nuclear fusion is the process by which two or more protons and neutrons combine to form a single nucleus. It is a very important process in the universe, as it is the source of energy for stars and galaxies. Nuclear fusion is also a key process in the production of energy for nuclear power plants."
 
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  # How to use
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  ```
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  reward_name = "OpenAssistant/reward-model-deberta-v3-base"
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  rank_model, tokenizer = AutoModelForSequenceClassification.from_pretrained(reward_name), AutoTokenizer.from_pretrained(reward_name)
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  question, answer = "Explain nuclear fusion like I am five", "Nuclear fusion is the process by which two or more protons and neutrons combine to form a single nucleus. It is a very important process in the universe, as it is the source of energy for stars and galaxies. Nuclear fusion is also a key process in the production of energy for nuclear power plants."