metadata
library_name: transformers
datasets:
- HumanLLMs/Human-Like-DPO-Dataset
language:
- en
base_model:
- google-bert/bert-base-uncased
BERT Human-like Reward Model
This is a reward model based on Bert Uncased.
Inference
!pip install transformers accelerate
model_name = "entfane/BERT_human_like_RM"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)
messages = ["How are you doing? Great",
"How are you doing? Greetings! I am doing just fine, may I ask you, how are you doing?"
]
input = tokenizer(messages, return_tensors="pt", padding="max_length").to(model.device)
output = model(**input)
print(output)