Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 1367052683
- CO2 Emissions (in grams): 0.0243
Validation Metrics
- Loss: 2.302
- Accuracy: 0.439
- Macro F1: 0.133
- Micro F1: 0.439
- Weighted F1: 0.391
- Macro Precision: 0.167
- Micro Precision: 0.439
- Weighted Precision: 0.378
- Macro Recall: 0.140
- Micro Recall: 0.439
- Weighted Recall: 0.439
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/Azizjah/autotrain-arabic_cuisine-1367052683
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("Azizjah/autotrain-arabic_cuisine-1367052683", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Azizjah/autotrain-arabic_cuisine-1367052683", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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