Add SetFit model

README.md

@@ -7,7 +7,7 @@ tags:
 pipeline_tag: text-classification
 ---
 
-# /var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmpnr6dozaq/killshot977/customer-intent-classification
+# /var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmpks9wjgur/killshot977/customer-intent-classification
 
 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/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmpnr6dozaq/killshot977/customer-intent-classification")
+model = SetFitModel.from_pretrained("/var/folders/lm/k69sycyx5538ldsk5n0ln5000000gn/T/tmpks9wjgur/killshot977/customer-intent-classification")
 # Run inference
 preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
 ```

model_head.pkl

@@ -1,3 +1,3 @@
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pytorch_model.bin

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