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---
license: apache-2.0
tags:
- trl
- transformers
- reinforcement-learning
- LLM detoxification
datasets:
- ProlificAI/social-reasoning-rlhf
language:
- en
metrics:
- accuracy
pipeline_tag: conversational
---
# 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="ARahul2003/lamini_flan_t5_detoxify_rlaif")
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("ARahul2003/lamini_flan_t5_detoxify_rlaif")
model = AutoModelForCausalLMWithValueHead.from_pretrained("ARahul2003/lamini_flan_t5_detoxify_rlaif")
inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
outputs = model(**inputs, labels=inputs["input_ids"])
``` |