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PhaniManda
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autotrain-test-auto-68273137270

Text Classification
Transformers
PyTorch
Safetensors
Enawené-Nawé
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files
xet
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Model Trained Using AutoTrain

  • Problem type: Multi-class Classification
  • Model ID: 68273137270
  • CO2 Emissions (in grams): 0.1013

Validation Metrics

  • Loss: 0.662
  • Accuracy: 0.750
  • Macro F1: 0.750
  • Micro F1: 0.750
  • Weighted F1: 0.719
  • Macro Precision: 0.867
  • Micro Precision: 0.750
  • Weighted Precision: 0.850
  • Macro Recall: 0.778
  • Micro Recall: 0.750
  • Weighted Recall: 0.750

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/PhaniManda/autotrain-test-auto-68273137270

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("PhaniManda/autotrain-test-auto-68273137270", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("PhaniManda/autotrain-test-auto-68273137270", use_auth_token=True)

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

outputs = model(**inputs)
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Dataset used to train PhaniManda/autotrain-test-auto-68273137270