Modelpublic

Sergim/autotrain-party-words-49350119320

sourceHugging Faceupdated 2y agoView on Hugging Face

0likes7downloads

Model Card

Model Trained Using AutoTrain

—Problem type: Multi-class Classification
—Model ID: 49350119320
—CO2 Emissions (in grams): 0.0155

Validation Metrics

—Loss: 1.949
—Accuracy: 0.439
—Macro F1: 0.361
—Micro F1: 0.439
—Weighted F1: 0.427
—Macro Precision: 0.513
—Micro Precision: 0.439
—Weighted Precision: 0.456
—Macro Recall: 0.332
—Micro Recall: 0.439
—Weighted Recall: 0.439

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/Sergim/autotrain-party-words-49350119320

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Sergim/autotrain-party-words-49350119320", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Sergim/autotrain-party-words-49350119320", use_auth_token=True)

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

outputs = model(**inputs)