Add SetFit model

README.md

@@ -7,7 +7,7 @@ tags:
 pipeline_tag: text-classification
 ---
 
-# /var/folders/q_/kmztc7y12338z11rmc5hxcwh0000gn/T/tmpe0n61x_c/ayala-usma/first_setfit_model
+# /var/folders/q_/kmztc7y12338z11rmc5hxcwh0000gn/T/tmpirlki321/ayala-usma/first_setfit_model
 
 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/q_/kmztc7y12338z11rmc5hxcwh0000gn/T/tmpe0n61x_c/ayala-usma/first_setfit_model")
+model = SetFitModel.from_pretrained("/var/folders/q_/kmztc7y12338z11rmc5hxcwh0000gn/T/tmpirlki321/ayala-usma/first_setfit_model")
 # 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:db30a1ae4ac72d8ee97c0c20cdec8eb1e65ec49678478fa37f88d7e93884e691
+oid sha256:0950da7755dcf46422f2247e1dc933e108298aff4d78a77a5f05df41a0948316
 size 6975

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a3267867c57708997f6bec575a26a28dc59df8bd756fc19b0584b1bc4e1587a3
+oid sha256:990ad68efa6772892dc8e61aefeb76090246b9bd04496b7bbe407f17146368fe
 size 438013677