Update README.md

README.md

@@ -16,6 +16,12 @@ This is a version of Cedille's GPT-J (fr-boris) with 6 billion parameters that i
 
 Here's how to run it: [![colab](https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667)](https://colab.research.google.com/drive/1ft6wQU0BhqG5PRlwgaZJv2VukKKjU4Es)
 
+This model can be easily loaded using the `GPTJForCausalLM` functionality:
+```python
+from transformers import GPTJForCausalLM
+model = GPTJForCausalLM.from_pretrained("gustavecortal/fr-boris-8bit")
+```
+
 ## fr-boris
 
 Boris is a 6B parameter autoregressive language model based on the GPT-J architecture and trained using the [mesh-transformer-jax](https://github.com/kingoflolz/mesh-transformer-jax) codebase.
@@ -26,4 +32,4 @@ Boris was trained on around 78B tokens of French text from the [C4](https://hugg
 
 * [Cedille](https://en.cedille.ai/)
 * [Hivemind](https://training-transformers-together.github.io/)
-* [My Twitter](https://twitter.com/gustavecortal)
+* [Gustave Cortal](https://twitter.com/gustavecortal)