Modelpublic

bvint/autotrain-sphere-lecture-demo-1671659193

sourceHugging Faceupdated 4y agoView on Hugging Face

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Model Card

Model Trained Using AutoTrain

—Problem type: Multi-class Classification
—Model ID: 1671659193
—CO2 Emissions (in grams): 0.0047

Validation Metrics

—Loss: 0.803
—Accuracy: 0.658
—Macro F1: 0.478
—Micro F1: 0.658
—Weighted F1: 0.580
—Macro Precision: 0.424
—Micro Precision: 0.658
—Weighted Precision: 0.520
—Macro Recall: 0.549
—Micro Recall: 0.658
—Weighted Recall: 0.658

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/bvint/autotrain-sphere-lecture-demo-1671659193

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bvint/autotrain-sphere-lecture-demo-1671659193", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bvint/autotrain-sphere-lecture-demo-1671659193", use_auth_token=True)

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

outputs = model(**inputs)