Modelpublic

Anamika/autonlp-Feedback1-479512837

sourceHugging Faceupdated 5y agoView on Hugging Face

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Model Card

Model Trained Using AutoNLP

—Problem type: Multi-class Classification
—Model ID: 479512837
—CO2 Emissions (in grams): 123.88023112815048

Validation Metrics

—Loss: 0.6220805048942566
—Accuracy: 0.7961119332705503
—Macro F1: 0.7616345204219084
—Micro F1: 0.7961119332705503
—Weighted F1: 0.795387503907883
—Macro Precision: 0.782839455262034
—Micro Precision: 0.7961119332705503
—Weighted Precision: 0.7992606754484262
—Macro Recall: 0.7451485972167191
—Micro Recall: 0.7961119332705503
—Weighted Recall: 0.7961119332705503

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 AutoNLP"}' https://api-inference.huggingface.co/models/Anamika/autonlp-Feedback1-479512837

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Anamika/autonlp-Feedback1-479512837", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Anamika/autonlp-Feedback1-479512837", use_auth_token=True)

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

outputs = model(**inputs)