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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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Uses
1from transformers import AutoModelForCausalLM, AutoTokenizer
2import torch
3
4model_name = "plaguss/mistal-7b-prm-openrlhf"
5model = AutoModelForCausalLM.from_pretrained(model_name)
6model = AutoTokenizer.from_pretrained(model_name)
7
8for output in [output1, output2]:
9 input_for_prm = f"{question} {output}"
10 input_id = torch.tensor([tokenizer.encode(input_for_prm)])
11 with torch.no_grad():
12 logits = model(input_id).logits[:,:,candidate_tokens]
13 scores = logits.softmax(dim=-1)[:,:,0]
14 step_scores = scores[input_id == step_tag_id]
15 print(step_scores)
16
17# tensor([0.9982, 0.9780, 0.9969, 0.9983])
18# tensor([0.9982, 0.9780, 0.9969, 0.0441])
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