administrative-procedure-classifier

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 42185108358
• CO2 Emissions (in grams): 0.3202

Validation Metrics

• Loss: 1.077
• Accuracy: 0.652
• Macro F1: 0.443
• Micro F1: 0.652
• Weighted F1: 0.618
• Macro Precision: 0.441
• Micro Precision: 0.652
• Weighted Precision: 0.600
• Macro Recall: 0.455
• Micro Recall: 0.652
• Weighted Recall: 0.652

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/zgoovw/autotrain-bert-base-japanese-classify-42185108358

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("zgoovw/autotrain-bert-base-japanese-classify-42185108358", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("zgoovw/autotrain-bert-base-japanese-classify-42185108358", use_auth_token=True)

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

outputs = model(**inputs)

Licenses

The pretrained models are distributed under the terms of the Creative Commons Attribution-ShareAlike 3.0.