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0xYuan
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autotrain-b-63449135459

Text Classification
Transformers
PyTorch
Safetensors
Chinese
bert
Trained with AutoTrain
Carbon Emissions
Inference Endpoints
Model card Files Community
autotrain-b-63449135459 / README.md
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metadata
tags:
  - autotrain
  - text-classification
language:
  - zh
widget:
  - text: I love AutoTrain
datasets:
  - 0xYuan/autotrain-data-b
co2_eq_emissions:
  emissions: 4.720376981365927

Model Trained Using AutoTrain

  • Problem type: Binary Classification
  • Model ID: 63449135459
  • CO2 Emissions (in grams): 4.7204

Validation Metrics

  • Loss: 0.375
  • Accuracy: 0.852
  • Precision: 0.866
  • Recall: 0.893
  • AUC: 0.906
  • F1: 0.879

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/0xYuan/autotrain-b-63449135459

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("0xYuan/autotrain-b-63449135459", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("0xYuan/autotrain-b-63449135459", use_auth_token=True)

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

outputs = model(**inputs)