Update README.md

README.md

@@ -10,7 +10,7 @@ FastESM is a Huggingface compatible plug in version of ESM2-650M rewritten with
 
 To enhance the weights with longer context and better fp16 support, we trained ESM2-650 50000 additional steps with a traditional MLM objective (20% masking) in fp16 mixed precision on [OMGprot50](tattabio/OMG_prot50) up to sequence length of **2048**.
 
-Outputting attention maps (or the contact predictino head) is not natively possible with SDPA. You can still pass ```output_attentions``` to have attention calculated manually and returned.
+Outputting attention maps (or the contact prediction head) is not natively possible with SDPA. You can still pass ```output_attentions``` to have attention calculated manually and returned.
 Various other optimizations also make the base implementation slightly different than the one in transformers.
 
 ## Use with 🤗 transformers