README.md

metadata

tags: autotrain
language: unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - deepesh0x/autotrain-data-GlueFineTunedModel
co2_eq_emissions: 56.65990763623749

Model Trained Using AutoTrain

• Problem type: Binary Classification
• Model ID: 1013533798
• CO2 Emissions (in grams): 56.65990763623749

Validation Metrics

• Loss: 0.693366527557373
• Accuracy: 0.4998717948717949
• Precision: 0.0
• Recall: 0.0
• AUC: 0.5
• F1: 0.0

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/deepesh0x/autotrain-GlueFineTunedModel-1013533798

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("deepesh0x/autotrain-GlueFineTunedModel-1013533798", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("deepesh0x/autotrain-GlueFineTunedModel-1013533798", use_auth_token=True)

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

outputs = model(**inputs)