Update README.md

README.md

@@ -20,6 +20,8 @@ license: cc-by-nc-4.0
 ## How to use
 * You can use BiodivBERT via huggingface library as follows:
 
+1. Masked Language Model 
+
 ````
 >>> from transformers import AutoTokenizer, AutoModelForMaskedLM
 
@@ -28,6 +30,26 @@ license: cc-by-nc-4.0
 >>> model = AutoModelForMaskedLM.from_pretrained("NoYo25/BiodivBERT")
 ````
 
+2. Token Classification - Named Entity Recognition
+
+````
+>>> from transformers import AutoTokenizer, AutoModelForTokenClassification
+
+>>> tokenizer = AutoTokenizer.from_pretrained("NoYo25/BiodivBERT")
+
+>>> model = AutoModelForTokenClassification.from_pretrained("NoYo25/BiodivBERT")
+````
+
+3. Sequence Classification - Relation Extraction
+
+````
+>>> from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+>>> tokenizer = AutoTokenizer.from_pretrained("NoYo25/BiodivBERT")
+
+>>> model = AutoModelForSequenceClassification.from_pretrained("NoYo25/BiodivBERT")
+````
+
 ## Training data
 
 * BiodivBERT is pre-trained on abstracts and full text from biodiversity domain-related publications.