README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - serenay/autonlp-data-Emotion

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 14722565

Validation Metrics

• Loss: 0.6077525615692139
• Accuracy: 0.7745398773006135
• Macro F1: 0.7287152925396537
• Micro F1: 0.7745398773006135
• Weighted F1: 0.7754701717098939
• Macro Precision: 0.7282186282186283
• Micro Precision: 0.7745398773006135
• Weighted Precision: 0.7787550922520248
• Macro Recall: 0.7314173610899214
• Micro Recall: 0.7745398773006135
• Weighted Recall: 0.7745398773006135

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/serenay/autonlp-Emotion-14722565

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("serenay/autonlp-Emotion-14722565", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("serenay/autonlp-Emotion-14722565", use_auth_token=True)

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

outputs = model(**inputs)