Update README.md

README.md

@@ -29,4 +29,10 @@ tags:
 - `flaubert-oral-mixed` : trained from scratch on a mixed corpus of ASR and text data, BPE tokenizer is also trained on the same corpus
 - `flaubert-oral-ft` : fine-tuning of flaubert-base-uncased for a few epochs on ASR data
 
-
+## Usage for sequence classification
+```python
+flaubert_tokenizer = FlaubertTokenizer.from_pretrained("nherve/flaubert-oral-asr")
+flaubert_classif = FlaubertForSequenceClassification.from_pretrained("nherve/flaubert-oral-asr", num_labels=14)
+flaubert_classif.sequence_summary.summary_type = 'mean'
+# Then, train your model
+```