Update README.md

README.md

@@ -31,7 +31,7 @@ An experimental model version is released [on Huggingface](https://huggingface.c
 ```python
 from transformers import T5Tokenizer, TFT5ForConditionalGeneration
 
-tokenizer = T5Tokenizer.from_pretrained("google/mt5-small")
+tokenizer = T5Tokenizer.from_pretrained("diversifix/diversiformer")
 model = TFT5ForConditionalGeneration.from_pretrained("diversifix/diversiformer")
 
 def generate(prompt, tokenizer, model):
@@ -50,6 +50,10 @@ for prompt in prompts:
     print(f"{prompt}\n{output}\n\n")
 ```
 
+## Dev ideas
+
+- Use classifier to filter out training data of low quality? (~adversarial approach)
+
 ## License
 
 Diversiformer. Transformer model for inclusive language.