Update README.md

README.md

@@ -3,6 +3,15 @@ license: openrail
 pipeline_tag: text-generation
 ---
 
+**To use MathT5 easily:**
+
+1. Download  ```MathT5.py```  to your working directory.
+2. ```from MathT5 import load_model, inference```
+3. ```tokenizer, model = load_model("jmeadows17/MathT5-large")```
+4. ```inference(prompt, tokenizer, model)```
+
+```MathT5.pretty_print(text, prompt=True)``` makes prompts and outputs (```prompt=False```) easier to read.
+
 **Overview**
 
 MathT5-large is a version of FLAN-T5-large fine-tuned for 25 epochs on 15K (LaTeX) synthetic mathematical derivations (containing 5 - 9 equations), that were generated using a symbolic solver (SymPy).
@@ -16,13 +25,4 @@ It was trained on 155 physics symbols, but struggles with out-of-vocabulary symb
 then derive - \\sin{(q)} = \\frac{d}{d q} \\theta{(q)},
 then obtain (- \\sin{(q)})^{q} (\\frac{d}{d q} \\cos{(q)})^{q} = (- \\sin{(q)})^{2 q}"```
 
-Output derivations are equations separated by "and".
-
-**To use MathT5 easily:**
-
-1. Download  ```MathT5.py```  to your working directory.
-2. ```from MathT5 import load_model, inference```
-3. ```tokenizer, model = load_model("jmeadows17/MathT5-large")```
-4. ```inference(prompt, tokenizer, model)```
-
-```MathT5.pretty_print(text, prompt=True)``` makes prompts and outputs (```prompt=False```) easier to read.
+Output derivations are equations separated by "and".