Update README.md

README.md

@@ -17,7 +17,7 @@ tags:
 
 # Model Card for Model ID
 
-ModernBERT fine-tuned on tasksource NLI tasks, including MNLI, ANLI, SICK, WANLI, doc-nli, LingNLI, FOLIO, FOL-NLI, LogicNLI, Label-NLI...).
+ModernBERT mul-itask fine-tuned on tasksource NLI tasks, including MNLI, ANLI, SICK, WANLI, doc-nli, LingNLI, FOLIO, FOL-NLI, LogicNLI, Label-NLI...).
 
 Test accuracy at 10k training steps (current version, 100k steps incoming at the end of the week).
 
@@ -123,6 +123,31 @@ Test accuracy at 10k training steps (current version, 100k steps incoming at the
 | gen_debiased_nli                     |            0.82 |
 
 
+# Usage
+
+## [ZS] Zero-shot classification pipeline
+```python
+from transformers import pipeline
+classifier = pipeline("zero-shot-classification",model="tasksource/ModernBERT-base-nli")
+
+text = "one day I will see the world"
+candidate_labels = ['travel', 'cooking', 'dancing']
+classifier(text, candidate_labels)
+```
+NLI training data of this model includes [label-nli](https://huggingface.co/datasets/tasksource/zero-shot-label-nli), a NLI dataset specially constructed to improve this kind of zero-shot classification.
+
+## [NLI] Natural language inference pipeline
+
+```python
+from transformers import pipeline
+pipe = pipeline("text-classification",model="tasksource/ModernBERT-base-nli")
+pipe([dict(text='there is a cat',
+  text_pair='there is a black cat')]) #list of (premise,hypothesis)
+```
+
+
+# Citation
+
 ```
 @inproceedings{sileo-2024-tasksource,
     title = "tasksource: A Large Collection of {NLP} tasks with a Structured Dataset Preprocessing Framework",