Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- text-classification
+language:
+- unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- sairahul5223/autotrain-data-auto-train-intent-classification-20220928
+co2_eq_emissions:
+  emissions: 1.0197546564964108
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1584756071
+- CO2 Emissions (in grams): 1.0198
+
+## Validation Metrics
+
+- Loss: 0.764
+- Accuracy: 0.666
+- Macro F1: 0.618
+- Micro F1: 0.666
+- Weighted F1: 0.658
+- Macro Precision: 0.659
+- Micro Precision: 0.666
+- Weighted Precision: 0.664
+- Macro Recall: 0.604
+- Micro Recall: 0.666
+- Weighted Recall: 0.666
+
+
+## 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/sairahul5223/autotrain-auto-train-intent-classification-20220928-1584756071
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("sairahul5223/autotrain-auto-train-intent-classification-20220928-1584756071", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("sairahul5223/autotrain-auto-train-intent-classification-20220928-1584756071", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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