|
--- |
|
language: |
|
- en |
|
tags: |
|
- causal-lm |
|
license: apache-2.0 |
|
datasets: |
|
- the_pile |
|
--- |
|
|
|
# GPT-J 6B |
|
|
|
## Model Description |
|
|
|
GPT-J 6B is a transformer model trained using Ben Wang's [Mesh Transformer JAX](https://github.com/kingoflolz/mesh-transformer-jax/). "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. |
|
|
|
## Original implementation |
|
|
|
Follow [this link](https://huggingface.co/EleutherAI/gpt-j-6B) to see the original implementation. |
|
|
|
# How to use |
|
|
|
Download the model by cloning the repository via `git clone https://huggingface.co/OWG/gpt-j-6B`. |
|
|
|
Then you can use the model with the following code: |
|
|
|
```python |
|
from onnxruntime import InferenceSession, SessionOptions, GraphOptimizationLevel |
|
from transformers import AutoTokenizer |
|
|
|
|
|
tokenizer = AutoTokenizer.from_pretrained("EleutherAI/gpt-j-6B") |
|
|
|
options = SessionOptions() |
|
options.graph_optimization_level = GraphOptimizationLevel.ORT_ENABLE_ALL |
|
|
|
session = InferenceSession("path/to/model.onnx", sess_options=options) |
|
session.disable_fallback() |
|
|
|
TODO |
|
``` |
|
|
