pytorch jax gpt2 lm-head causal-lm transformers text-generation
.gitattributes README.md config.json flax_model.msgpack merges.txt pytorch_model.bin special_tokens_map.json tokenizer_config.json training_args.bin vocab.json
### Model information
    
    Fine tuning data 1: https://www.kaggle.com/andradaolteanu/rickmorty-scripts
    Base model: e-tony/gpt2-rnm
    Epoch: 3
    Train runtime: 7.1779 secs
    Loss: 2.5694
    


Training notebook: [Colab](https://colab.research.google.com/drive/12NvO1SIZevF8ybJqfN9O21I3i9bU1dOO#scrollTo=KUsyn02WWmf5)


### ===Teachable NLP=== ###

To train a GPT-2 model, write code and require GPU resources, but can easily fine-tune and get an API to use the model here for free.

Teachable NLP: [Teachable NLP](https://ainize.ai/teachable-nlp)

Tutorial: [Tutorial](https://forum.ainetwork.ai/t/teachable-nlp-how-to-use-teachable-nlp/65?utm_source=community&utm_medium=huggingface&utm_campaign=model&utm_content=teachable%20nlp)
