Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 45720114293
- CO2 Emissions (in grams): 0.5929
Validation Metrics
- Loss: 0.811
- Accuracy: 0.911
- Macro F1: 0.735
- Micro F1: 0.911
- Weighted F1: 0.895
- Macro Precision: 0.730
- Micro Precision: 0.911
- Weighted Precision: 0.882
- Macro Recall: 0.742
- Micro Recall: 0.911
- Weighted Recall: 0.911
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/IRI2070/autotrain-intacode-144510011402-45720114293
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("IRI2070/autotrain-intacode-144510011402-45720114293", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("IRI2070/autotrain-intacode-144510011402-45720114293", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
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