Edit model card
YAML Metadata Error: "tags" must be an array

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 625717986
  • CO2 Emissions (in grams): 68.73074770596023

Validation Metrics

  • Loss: 0.859463632106781
  • Accuracy: 0.6118427330852181
  • Macro F1: 0.6112554383858383
  • Micro F1: 0.6118427330852181
  • Weighted F1: 0.6112706859556324
  • Macro Precision: 0.6121119616189625
  • Micro Precision: 0.6118427330852181
  • Weighted Precision: 0.6121068719118146
  • Macro Recall: 0.6118067898609261
  • Micro Recall: 0.6118427330852181
  • Weighted Recall: 0.6118427330852181

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 AutoNLP"}' https://api-inference.huggingface.co/models/Someshfengde/autonlp-kaggledays-625717986

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Someshfengde/autonlp-kaggledays-625717986", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Someshfengde/autonlp-kaggledays-625717986", use_auth_token=True)

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

outputs = model(**inputs)
Downloads last month
9
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.