Add SetFit model

README.md

@@ -7,7 +7,7 @@ tags:
 pipeline_tag: text-classification
 ---
 
-# /var/folders/my/7gpsbyln179fyxzztd61gwwc0000gp/T/tmp2f12ap3j/andrr/setfit_healthcare
+# /var/folders/my/7gpsbyln179fyxzztd61gwwc0000gp/T/tmpn6wshlr3/andrr/setfit_healthcare
 
 This is a [SetFit model](https://github.com/huggingface/setfit) that can be used for text classification. The model has been trained using an efficient few-shot learning technique that involves:
 
@@ -28,7 +28,7 @@ You can then run inference as follows:
 from setfit import SetFitModel
 
 # Download from Hub and run inference
-model = SetFitModel.from_pretrained("/var/folders/my/7gpsbyln179fyxzztd61gwwc0000gp/T/tmp2f12ap3j/andrr/setfit_healthcare")
+model = SetFitModel.from_pretrained("/var/folders/my/7gpsbyln179fyxzztd61gwwc0000gp/T/tmpn6wshlr3/andrr/setfit_healthcare")
 # Run inference
 preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
 ```

model_head.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:70198936516ddc7792835c6ed4953e37fe918a37a0e06d5a72db4a37f0b7e7a1
+oid sha256:73e2131fe7efa61c77da7efa2dc11ac7f996c42fe5e313a8abe3c24a4fbcaf8b
 size 6991