SingleLR001

MattBou00/SingleLR001

SingleLR001 is a reinforcement learning model from MattBou00. 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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Hugging Face

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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="MattBou00//content/IRL-Bayesian/outputs/2025-11-21_15-54-01/final-model")
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("MattBou00//content/IRL-Bayesian/outputs/2025-11-21_15-54-01/final-model")
model = AutoModelForCausalLMWithValueHead.from_pretrained("MattBou00//content/IRL-Bayesian/outputs/2025-11-21_15-54-01/final-model")

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: Nov 21, 2025
Updated: Nov 21, 2025