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

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 9532137

Validation Metrics

  • Loss: 0.34556105732917786
  • Accuracy: 0.8749890724713699
  • Macro F1: 0.5243623959669343
  • Micro F1: 0.8749890724713699
  • Weighted F1: 0.8638030768409057
  • Macro Precision: 0.5016762404900895
  • Micro Precision: 0.8749890724713699
  • Weighted Precision: 0.8547962562614184
  • Macro Recall: 0.5529674694200845
  • Micro Recall: 0.8749890724713699
  • Weighted Recall: 0.8749890724713699

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/bshlgrs/autonlp-classification_with_all_labellers-9532137

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bshlgrs/autonlp-classification_with_all_labellers-9532137", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bshlgrs/autonlp-classification_with_all_labellers-9532137", use_auth_token=True)

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

outputs = model(**inputs)
Downloads last month
18
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.