Modelpublic

reachosen/autotrain-in-basket-3.42-83100142189

sourceHugging Faceupdated 3y agoView on Hugging Face

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Model Card

Model Trained Using AutoTrain

—Problem type: Multi-class Classification
—Model ID: 83100142189
—CO2 Emissions (in grams): 0.7229

Validation Metrics

—Loss: 0.584
—Accuracy: 0.851
—Macro F1: 0.841
—Micro F1: 0.851
—Weighted F1: 0.847
—Macro Precision: 0.851
—Micro Precision: 0.851
—Weighted Precision: 0.853
—Macro Recall: 0.843
—Micro Recall: 0.851
—Weighted Recall: 0.851

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/reachosen/autotrain-in-basket-3.42-83100142189

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("reachosen/autotrain-in-basket-3.42-83100142189", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("reachosen/autotrain-in-basket-3.42-83100142189", use_auth_token=True)

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

outputs = model(**inputs)