metadata
tags:
- autotrain
- text-classification
language:
- en
widget:
- text: I love AutoTrain
datasets:
- rajeshd/autotrain-data-test-classification-ec20bd3e
co2_eq_emissions:
emissions: 0.0345914684606088
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 69256137746
- CO2 Emissions (in grams): 0.0346
Validation Metrics
- Loss: 0.287
- Accuracy: 1.000
- Macro F1: 1.000
- Micro F1: 1.000
- Weighted F1: 1.000
- Macro Precision: 1.000
- Micro Precision: 1.000
- Weighted Precision: 1.000
- Macro Recall: 1.000
- Micro Recall: 1.000
- Weighted Recall: 1.000
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/rajeshd/autotrain-test-classification-69256137746
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("rajeshd/autotrain-test-classification-69256137746", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("rajeshd/autotrain-test-classification-69256137746", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)