Upload README.md

README.md

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+# Model Trained Using AutoNLP
+
+- Problem type: Multi-class Classification
+- Model ID: 492513457
+- CO2 Emissions (in grams): 5.527544460835904
+
+## Validation Metrics
+
+- Loss: 0.07609463483095169
+- Accuracy: 0.9735624586913417
+- Macro F1: 0.9736173135739408
+- Micro F1: 0.9735624586913417
+- Weighted F1: 0.9736173135739408
+- Macro Precision: 0.9737771415197378
+- Micro Precision: 0.9735624586913417
+- Weighted Precision: 0.9737771415197378
+- Macro Recall: 0.9735624586913417
+- Micro Recall: 0.9735624586913417
+- Weighted Recall: 0.9735624586913417
+
+
+## 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 AutoNLP"}' https://api-inference.huggingface.co/models/madhurjindal/autonlp-Gibberish-Detector-492513457
+```
+
+Or Python API:
+
+```
+from transformers import AutoModelForSequenceClassification, AutoTokenizer
+
+model = AutoModelForSequenceClassification.from_pretrained("madhurjindal/autonlp-Gibberish-Detector-492513457", use_auth_token=True)
+
+tokenizer = AutoTokenizer.from_pretrained("madhurjindal/autonlp-Gibberish-Detector-492513457", use_auth_token=True)
+
+inputs = tokenizer("I love AutoNLP", return_tensors="pt")
+
+outputs = model(**inputs)
+```