README.md

metadata

tags:
  - autotrain
  - text-classification
language:
  - en
widget:
  - text: I love AutoTrain 🤗
datasets:
  - Awesome7749/autotrain-data-patent-101
co2_eq_emissions:
  emissions: 3.7522636525320645

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 2952885909
• CO2 Emissions (in grams): 3.7523

Validation Metrics

• Loss: 0.353
• Accuracy: 0.851
• Precision: 0.598
• Recall: 0.537
• AUC: 0.846
• F1: 0.566

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/Awesome7749/autotrain-patent-101-2952885909

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Awesome7749/autotrain-patent-101-2952885909", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Awesome7749/autotrain-patent-101-2952885909", use_auth_token=True)

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

outputs = model(**inputs)