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Sachinkelenjaguri/climate-tcfd-recommendation

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

Class

0 - None <br> 1 - Metrics and Targets <br> 2 - Strategy <br> 3 - Risk Management <br> 4 - Governance <br>

Model Trained Using AutoTrain

  • —Problem type: Multi-class Classification
  • —Model ID: 55122128742
  • —CO2 Emissions (in grams): 0.0015

Validation Metrics

  • —Loss: 0.646
  • —Accuracy: 0.777
  • —Macro F1: 0.727
  • —Micro F1: 0.777
  • —Weighted F1: 0.779
  • —Macro Precision: 0.734
  • —Micro Precision: 0.777
  • —Weighted Precision: 0.786
  • —Macro Recall: 0.731
  • —Micro Recall: 0.777
  • —Weighted Recall: 0.777

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/Sachinkelenjaguri/climate-tcfd-recommendation

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Sachinkelenjaguri/climate-tcfd-recommendation", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Sachinkelenjaguri/climate-tcfd-recommendation", use_auth_token=True)

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

outputs = model(**inputs)