Update README.md

README.md

@@ -72,4 +72,24 @@ language:
 - sw
 - ps
 pipeline_tag: zero-shot-classification
----
+---
+
+# Model Card for mDeBERTa-v3-base-tasksource-nli
+
+Multilingual [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) with multi-task training on [mtasksource](https://github.com/sileod/tasksource/blob/main/src/tasksource/mtasks.py)
+
+This model can be used as a stable starting-point for further fine-tuning, or directly in zero-shot NLI model or a zero-shot pipeline.
+
+In addition, you can use the provided [adapters](https://huggingface.co/sileod/mdeberta-v3-base-tasksource-adapters) to directly load a model for hundreds of tasks. 
+```python
+!pip install tasknet, tasksource -q
+import tasknet as tn 
+pipe=tn.load_pipeline('sileod/mdeberta-v3-base-tasksource-nli',"miam/dihana")
+pipe(['si','como esta?'])
+```
+
+## Software
+https://github.com/sileod/tasksource/
+https://github.com/sileod/tasknet/
+Training took 7 days on RTX6000 24GB gpu.
+