CoolFace
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Maxbnza/country-recognition

sourceHugging Faceupdated 4y agoView on Hugging Face
2likes10downloads
Model Card

Model Trained Using AutoTrain

  • —Problem type: Multi-class Classification
  • —Model ID: 1062136864
  • —CO2 Emissions (in grams): 141.11976199388627

Validation Metrics

  • —Loss: 0.10147109627723694
  • —Accuracy: 0.9859325979151907
  • —Macro F1: 0.9715036017680622
  • —Micro F1: 0.9859325979151907
  • —Weighted F1: 0.9859070541468058
  • —Macro Precision: 0.9732956651937184
  • —Micro Precision: 0.9859325979151907
  • —Weighted Precision: 0.9860574596777458
  • —Macro Recall: 0.970199341807239
  • —Micro Recall: 0.9859325979151907
  • —Weighted Recall: 0.9859325979151907

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/Maxbnza/autotrain-address-training-1062136864

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)

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

outputs = model(**inputs)