
[Github for Inference and Training](https://github.com/Quicksticks-oss/GPTX-RL)

### Features
- Just like GPT this model generates text based on an input prompt.
- This project uses Reinforcement Learning (RL) for training and inference.
- All models can be found on hugging face.

---

### Training

- First step is to run ``generate_vocab.py`` on whatever text data you would like to train on for example ``python3 generate_vocab.py -i train.txt``
- Next step is to run ``train.py``
- Now all you have to do is wait!
---
### Inference

- Run ``inference.py`` with ``-i`` as an argumentand with models path.

### Logging
- Output plot graphs will be avalible in the next version.
{"license": "cc-by-2.0"}
license:cc-by-2.0 region:us
TAGS
#license-cc-by-2.0 #region-us 


Github for Inference and Training

### Features
- Just like GPT this model generates text based on an input prompt.
- This project uses Reinforcement Learning (RL) for training and inference.
- All models can be found on hugging face.

---

### Training

- First step is to run ''generate_vocab.py'' on whatever text data you would like to train on for example ''python3 generate_vocab.py -i URL''
- Next step is to run ''URL''
- Now all you have to do is wait!
---
### Inference

- Run ''URL'' with ''-i'' as an argumentand with models path.

### Logging
- Output plot graphs will be avalible in the next version.
### Features
- Just like GPT this model generates text based on an input prompt.
- This project uses Reinforcement Learning (RL) for training and inference.
- All models can be found on hugging face.

--- ### Training

- First step is to run ''generate_vocab.py'' on whatever text data you would like to train on for example ''python3 generate_vocab.py -i URL''
- Next step is to run ''URL''
- Now all you have to do is wait!
--- ### Inference

- Run ''URL'' with ''-i'' as an argumentand with models path. ### Logging
- Output plot graphs will be avalible in the next version.
TAGS
#license-cc-by-2.0 #region-us 
 ### Features
- Just like GPT this model generates text based on an input prompt.
- This project uses Reinforcement Learning (RL) for training and inference.
- All models can be found on hugging face.

--- ### Training

- First step is to run ''generate_vocab.py'' on whatever text data you would like to train on for example ''python3 generate_vocab.py -i URL''
- Next step is to run ''URL''
- Now all you have to do is wait!
--- ### Inference

- Run ''URL'' with ''-i'' as an argumentand with models path. ### Logging
- Output plot graphs will be avalible in the next version.
TAGS
#license-cc-by-2.0 #region-us 
### Features
- Just like GPT this model generates text based on an input prompt.
- This project uses Reinforcement Learning (RL) for training and inference.
- All models can be found on hugging face.

---### Training

- First step is to run ''generate_vocab.py'' on whatever text data you would like to train on for example ''python3 generate_vocab.py -i URL''
- Next step is to run ''URL''
- Now all you have to do is wait!
---### Inference

- Run ''URL'' with ''-i'' as an argumentand with models path.### Logging
- Output plot graphs will be avalible in the next version.