
# TRL Model

This is a [TRL language model](https://github.com/huggingface/trl) 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.

## Usage

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

```bash
python -m pip install trl
```

You can then generate text as follows:

```python
from transformers import pipeline

generator = pipeline("text-generation", model="bnurpek//tmp/tmpfz237oss/bnurpek/try2-gpt2-256T-neg-70")
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:

```python
from transformers import AutoTokenizer
from trl import AutoModelForCausalLMWithValueHead

tokenizer = AutoTokenizer.from_pretrained("bnurpek//tmp/tmpfz237oss/bnurpek/try2-gpt2-256T-neg-70")
model = AutoModelForCausalLMWithValueHead.from_pretrained("bnurpek//tmp/tmpfz237oss/bnurpek/try2-gpt2-256T-neg-70")

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

{"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]}
transformers safetensors gpt2 text-generation trl ppo reinforcement-learning license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us