added usage code

README.md

@@ -13,6 +13,17 @@ tags:
 Indus-NER-DEAL (nasa-smd-ibm-v0.1_NER_DEAL) is a RoBERTa-based, Encoder-only transformer model, domain-adapted for NASA Science Mission Directorate (SMD) applications. It's fine-tuned on scientific journals and articles relevant to NASA SMD, aiming to enhance natural language technologies like information retrieval and intelligent search.  
 This specific fork was finetuned on SciX Digital Library (https://scixplorer.org/, formerly NASA-ADS) proprietary data to label text with DEAL labels (https://ui.adsabs.harvard.edu/WIESP/2022/LabelDefinitions)
 
+## Usage
+```python
+from transformers import AutoModelForTokenClassification, AutoTokenizer
+INDUS_NER_DEAL = AutoModelForTokenClassification.from_pretrained(pretrained_model_name_or_path='nasa-smd-ibm-v0.1_NER_DEAL',
+                                                                 revision=None,
+                                                                )
+
+INDUS__tokenizer = AutoTokenizer.from_pretrained(pretrained_model_name_or_path='nasa-smd-ibm-v0.1_NER_DEAL',
+                                                 do_lower_case=False,
+                                                )
+```
 ## Model Details
 - **Base Model**: RoBERTa
 - **Tokenizer**: Custom