Update README.md

README.md

@@ -62,6 +62,20 @@ reduces the number of read/write operations between the GPU HBM (high bandwidth
 
 # How to use
 
+
+
+
+```python
+from transformers import AutoModelforForMaskedLM
+mlm = AutoModelForMaskedLM.from_pretrained('mosaicml/mosaic-bert-base', use_auth_token=<your token>, trust_remote_code=True)
+```
+The tokenizer for this model is the Hugging Face `bert-base-uncased` tokenizer.
+
+```python
+from transformers import BertTokenizer
+tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
+```
+
 ## Training data
 
 MosaicBERT is pretrained using a standard Masked Language Modeling (MLM) objective: the model is given a sequence of 
@@ -109,4 +123,6 @@ GLUE test results:
 |:----:|:-----------:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:|:-------:|
 |      |    |  |  |   |  |   |  |  |     |
 
-## Intended uses & limitations
+## Intended uses & limitations
+
+This model is intended to be finetuned on downstream tasks.