isotropic-labs/mean_layernorm_linear_seed6

This repository contains the mean_layernorm_linear_seed6 head-diverse reward model checkpoint from mc-dropout-vs-reward-ensemble.

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from transformers import AutoModelForSequenceClassification, AutoTokenizer

model_name = "isotropic-labs/mean_layernorm_linear_seed6"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForSequenceClassification.from_pretrained(
    model_name,
    trust_remote_code=True,
)

These checkpoints use a custom GPT-NeoX reward-model class, so trust_remote_code=True is required unless you register the class locally from this repository.