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:
+- lewtun/autotrain-data-mgb-product-reviews-mbert
+co2_eq_emissions:
+  emissions: 5.523107849339405
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 1904564767
+- CO2 Emissions (in grams): 5.5231
+
+## Validation Metrics
+
+- Loss: 1.135
+- Accuracy: 0.514
+- Macro F1: 0.504
+- Micro F1: 0.514
+- Weighted F1: 0.505
+- Macro Precision: 0.506
+- Micro Precision: 0.514
+- Weighted Precision: 0.507
+- Macro Recall: 0.513
+- Micro Recall: 0.514
+- Weighted Recall: 0.514
+
+
+## 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/lewtun/autotrain-mgb-product-reviews-mbert-1904564767
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("lewtun/autotrain-mgb-product-reviews-mbert-1904564767", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("lewtun/autotrain-mgb-product-reviews-mbert-1904564767", use_auth_token=True)
+
+inputs = tokenizer("I love AutoTrain", return_tensors="pt")
+
+outputs = model(**inputs)
+```

config.json

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