Norah-K/PDPL_CAMeLBERT

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 89564143964
• CO2 Emissions (in grams): 0.0428

Validation Metrics

• Loss: 0.293
• Accuracy: 0.929
• Macro F1: 0.926
• Micro F1: 0.929
• Weighted F1: 0.929
• Macro Precision: 0.936
• Micro Precision: 0.929
• Weighted Precision: 0.930
• Macro Recall: 0.918
• Micro Recall: 0.929
• Weighted Recall: 0.929

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/NorahNasser/autotrain-camel_pdpl-89564143964

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("NorahNasser/autotrain-camel_pdpl-89564143964", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("NorahNasser/autotrain-camel_pdpl-89564143964", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)