Update README.md

README.md

@@ -1,5 +1,35 @@
 ---
 license: mit
+datasets:
+- bigbio/chemdner
+- ncbi_disease
+- jnlpba
+- bigbio/n2c2_2018_track2
+- bigbio/bc5cdr
+language:
+- en
+metrics:
+- precision
+- recall
+- f1
+pipeline_tag: token-classification
+tags:
+- token-classification
+- biology
+- medical
+- zero-shot
+- few-shot
 ---
-#Model takes as input two strings. String1 is NER label. String1 must be phrase for entity. String2 is short text where String1 is searched for semantically.
-#model outputs list of zeros and ones corresponding to the occurance of NER and corresponing to tokens(tokens given by transformer tokenizer) of the Sring2, not to words.
+# Zero and few shot NER for biomedical texts
+
+## Model description
+Model takes as input two strings. String1 is NER label. String1 must be phrase for entity. String2 is short text where String1 is searched for semantically.
+model outputs list of zeros and ones corresponding to the occurance of NER and corresponing to tokens(tokens given by transformer tokenizer) of the Sring2, not to words.
+
+## Example of usage
+
+## Code availibility
+
+Code used for training and testing the model is available at https://github.com/br-ai-ns-institute/Zero-ShotNER 
+
+## Citation