Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1093539673
CO2 Emissions (in grams): 7.663051290039914

Validation Metrics

Loss: 0.34404119849205017
Accuracy: 0.8843120070113936
Macro F1: 0.8771237753798016
Micro F1: 0.8843120070113936
Weighted F1: 0.8843498914288083
Macro Precision: 0.8745249813256932
Micro Precision: 0.8843120070113936
Weighted Precision: 0.8854719661321065
Macro Recall: 0.8812563739901838
Micro Recall: 0.8843120070113936
Weighted Recall: 0.8843120070113936

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/dee4hf/autotrain-deephate2-1093539673

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("dee4hf/autotrain-deephate2-1093539673", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("dee4hf/autotrain-deephate2-1093539673", use_auth_token=True)

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

outputs = model(**inputs)