metadata

tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Sachinkelenjaguri/autotrain-data-sachin-test-summarizer
co2_eq_emissions:
  emissions: 0.2943199672482467

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 55107128705
CO2 Emissions (in grams): 0.2943

Validation Metrics

Loss: 0.544
Accuracy: 0.806
Macro F1: 0.770
Micro F1: 0.806
Weighted F1: 0.806
Macro Precision: 0.778
Micro Precision: 0.806
Weighted Precision: 0.808
Macro Recall: 0.764
Micro Recall: 0.806
Weighted Recall: 0.806

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/Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128705

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128705", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/autotrain-sachin-test-summarizer-55107128705", use_auth_token=True)

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

outputs = model(**inputs)