Modelpublic

kyleinincubated/autonlp-cat33-624317932

sourceHugging Faceupdated 5y agoView on Hugging Face

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Model Card

Model Trained Using AutoNLP

—Problem type: Multi-class Classification
—Model ID: 624317932
—CO2 Emissions (in grams): 1.2490471218570545

Validation Metrics

—Loss: 0.5579860806465149
—Accuracy: 0.8717391304347826
—Macro F1: 0.6625543939916455
—Micro F1: 0.8717391304347827
—Weighted F1: 0.8593303742671491
—Macro Precision: 0.7214757380849891
—Micro Precision: 0.8717391304347826
—Weighted Precision: 0.8629042654788023
—Macro Recall: 0.6540187758140144
—Micro Recall: 0.8717391304347826
—Weighted Recall: 0.8717391304347826

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/kyleinincubated/autonlp-cat33-624317932

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("kyleinincubated/autonlp-cat33-624317932", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("kyleinincubated/autonlp-cat33-624317932", use_auth_token=True)

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

outputs = model(**inputs)