12m-retry-continue-combined-regressor-epoch-1

作者 Jellywibble · 下载 1 · 点赞 0 · 更新 2023-11-01

What you need to do

from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Jellywibble/12m-retry-continue-combined-regressor-epoch-1")
model = AutoModelForSequenceClassification.from_pretrained("Jellywibble/12m-retry-continue-combined-regressor-epoch-1")
tokenizer.pad_token_id = 50256
tokenizer.truncation_side = ‘left’
tokenizer.padding_side = ‘right’
tokens = self.eval_tokenizer(candidates, return_tensors='pt', return_attention_mask=True, padding='longest', truncation=True, max_length=256)
reward = model(**tokens).logits

模型信息

该模型卡暂无预览图和文字说明。以下信息来自 Hugging Face。

作者 Jellywibble
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更新时间2023-11-01
Hugging Face https://huggingface.co/Jellywibble/12m-retry-continue-combined-regressor-epoch-1