Update README.md

README.md

@@ -19,6 +19,11 @@ The final LayerNorm also has 1e12 as epsilon, but non-unity weights and biases.
 thus the LN parameters cannot be folded into that matrix. You can completely remove all LNs by simply replacing `ln_1` and `ln_2` modules with identities, and replacing
 `ln_f` with modifications to the unembed matrix and unembed bias.
 
+You can load the model with `transformers`, or one of the interpretability libraries listed below.
+```python
+model = GPT2LMHeadModel.from_pretrained("apollo-research/gpt2_noLN").to("cpu")
+```
+
 ## TransformerLens loading code
 ```python
 import torch