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Model Trained Using AutoTrain

Problem type: Binary Classification
Model ID: 3075087647
CO2 Emissions (in grams): 17.1014

Validation Metrics

Loss: 0.000
Accuracy: 1.000
Precision: 1.000
Recall: 1.000
AUC: 1.000
F1: 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/eeshan/autotrain-r-nr-categorization-3075087647

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("eeshan/autotrain-r-nr-categorization-3075087647", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("eeshan/autotrain-r-nr-categorization-3075087647", use_auth_token=True)

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

outputs = model(**inputs)

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r-nr-categorization-patent-deberta

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Model Trained Using AutoTrain

Validation Metrics

Usage

Space using eeshan/r-nr-categorization-patent-deberta 1