llama_PPO_pos_formal

zou00080/llama_PPO_pos_formal

llama_PPO_pos_formal is a reinforcement learning model from zou00080. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

This is a TRL language model that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.

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At a glance

Task: Reinforcement Learning
Library: transformers
License: apache-2.0
Model type: llama
Access: Public
Created: May 19, 2023
Updated: May 19, 2023
SHA: bbc82de1

Model card

From the Hugging Face model README

TRL Model

Usage

To use this model for inference, first install the TRL library:

python -m pip install trl

You can then generate text as follows:

from transformers import pipeline

generator = pipeline("text-generation", model="karinjd/negformalfinal")
outputs = generator("Hello, my llama is cute")

If you want to use the model for training or to obtain the outputs from the value head, load the model as follows:

from transformers import AutoTokenizer
from trl import AutoModelForCausalLMWithValueHead

tokenizer = AutoTokenizer.from_pretrained("karinjd/negformalfinal")
model = AutoModelForCausalLMWithValueHead.from_pretrained("karinjd/negformalfinal")

inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
outputs = model(**inputs, labels=inputs["input_ids"])

Task: Reinforcement Learning
Library: transformers
Type: llama
License: apache-2.0
Created: May 19, 2023
Updated: May 19, 2023