Push model using huggingface_hub.

README.md

@@ -26,13 +26,13 @@ widget:
     ... ( quills ) did by showing them . '
 pipeline_tag: text-classification
 co2_eq_emissions:
-  emissions: 2.6114980282637004
+  emissions: 2.5933709269110308
   source: codecarbon
   training_type: fine-tuning
   on_cloud: false
   cpu_model: 13th Gen Intel(R) Core(TM) i7-13700K
   ram_total_size: 31.777088165283203
-  hours_used: 0.03
+  hours_used: 0.027
   hardware_used: 1 x NVIDIA GeForce RTX 3090
 base_model: sentence-transformers/paraphrase-mpnet-base-v2
 model-index:
@@ -79,10 +79,10 @@ The model has been trained using an efficient few-shot learning technique that i
 - **Blogpost:** [SetFit: Efficient Few-Shot Learning Without Prompts](https://huggingface.co/blog/setfit)
 
 ### Model Labels
-| Label | Examples                                                                                                                                                                                                                                                                                         |
-|:------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| 0     | <ul><li>'stale and uninspired . '</li><li>"the film 's considered approach to its subject matter is too calm and thoughtful for agitprop , and the thinness of its characterizations makes it a failure as straight drama . ' "</li><li>"that their charm does n't do a load of good "</li></ul> |
-| 1     | <ul><li>"broomfield is energized by volletta wallace 's maternal fury , her fearlessness "</li><li>'flawless '</li><li>'insightfully written , delicately performed '</li></ul>                                                                                                                  |
+| Label    | Examples                                                                                                                                                                                                                                                                                         |
+|:---------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| negative | <ul><li>'stale and uninspired . '</li><li>"the film 's considered approach to its subject matter is too calm and thoughtful for agitprop , and the thinness of its characterizations makes it a failure as straight drama . ' "</li><li>"that their charm does n't do a load of good "</li></ul> |
+| positive | <ul><li>"broomfield is energized by volletta wallace 's maternal fury , her fearlessness "</li><li>'flawless '</li><li>'insightfully written , delicately performed '</li></ul>                                                                                                                  |
 
 ## Evaluation
 
@@ -181,7 +181,7 @@ preds = model("a fast , funny , highly enjoyable movie . ")
 ### Environmental Impact
 Carbon emissions were measured using [CodeCarbon](https://github.com/mlco2/codecarbon).
 - **Carbon Emitted**: 0.003 kg of CO2
-- **Hours Used**: 0.03 hours
+- **Hours Used**: 0.027 hours
 
 ### Training Hardware
 - **On Cloud**: No

config_setfit.json

@@ -1,7 +1,7 @@
 {
+  "normalize_embeddings": false,
   "labels": [
     "negative",
     "positive"
-  ],
-  "normalize_embeddings": false
+  ]
 }