Update README.md

README.md

@@ -86,4 +86,23 @@ learning_rate = 3e-5
     <td align="center">92.12%</td>
   </tr>
 </tbody>
-</table>
+</table>
+
+
+## Use in Transformers
+```python
+from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+model_name = "NoWayBack/batteryscibert-uncased-abstract-mtc"
+
+# Get predictions
+nlp = pipeline('text-classification', model=model_name, tokenizer=model_name, top_k=5)
+input_string = "Sodium-ion batteries are among the most promising alternatives to lithium-based " \
+               "technologies for grid and other energy storage applications due to their cost benefits " \
+               "and sustainable resource supply. For the cathode—the component that largely determines the " \
+               "energy density of a sodium-ion battery cell—one major category of materials is P2-type layered oxides."
+res = nlp(input_string)
+
+# Load model & tokenizer
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+