Commit From AutoTrain

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,56 @@
+---
+tags:
+- autotrain
+- text-classification
+language:
+- unk
+widget:
+- text: "I love AutoTrain"
+datasets:
+- SH-W/autotrain-data-5000_koi
+co2_eq_emissions:
+  emissions: 3.920765439350259
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 77927140735
+- CO2 Emissions (in grams): 3.9208
+
+## Validation Metrics
+
+- Loss: 2.432
+- Accuracy: 0.415
+- Macro F1: 0.410
+- Micro F1: 0.415
+- Weighted F1: 0.410
+- Macro Precision: 0.459
+- Micro Precision: 0.415
+- Weighted Precision: 0.456
+- Macro Recall: 0.413
+- Micro Recall: 0.415
+- Weighted Recall: 0.415
+
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/SH-W/autotrain-5000_koi-77927140735
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("SH-W/autotrain-5000_koi-77927140735", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("SH-W/autotrain-5000_koi-77927140735", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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model.safetensors

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+}