Add SetFit model

README.md

@@ -7,7 +7,7 @@ tags:
 pipeline_tag: text-classification
 ---
 
-# /var/folders/mt/147vhq713f1_gmbpccrp4hc00000gn/T/tmp3usg6cbk/ishan/initial-model
+# /var/folders/mt/147vhq713f1_gmbpccrp4hc00000gn/T/tmpqfl5okft/ishan/initial-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/mt/147vhq713f1_gmbpccrp4hc00000gn/T/tmp3usg6cbk/ishan/initial-model")
+model = SetFitModel.from_pretrained("/var/folders/mt/147vhq713f1_gmbpccrp4hc00000gn/T/tmpqfl5okft/ishan/initial-model")
 # Run inference
 preds = model(["i loved the spiderman movie!", "pineapple on pizza is the worst 🤮"])
 ```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/Users/ishan/Documents/models/ANSWER_QUESTION_REPEAT/model/",
+  "_name_or_path": "/Users/ishan/Documents/models/ANSWER_QUESTION_REPEAT/V2/",
   "architectures": [
     "MPNetModel"
   ],

model_head.pkl

@@ -1,3 +1,3 @@
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+oid sha256:5db9d9fbd50517279edc3dd469a8c54f7b81e2c39b45ccee1026713d7a87fd60
 size 19311

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2a51f6d5b6ffbf4fdb5c37657eed0d6dcb2c559635e8b925847694742de1a518
 size 438013677