README.md

metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - FuriouslyAsleep/autotrain-data-markingClassifier
co2_eq_emissions: 0.5712537632313806

Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 661319476
• CO2 Emissions (in grams): 0.5712537632313806

Validation Metrics

• Loss: 0.859619140625
• Accuracy: 0.8
• Macro F1: 0.6
• Micro F1: 0.8000000000000002
• Weighted F1: 0.72
• Macro Precision: 0.5555555555555555
• Micro Precision: 0.8
• Weighted Precision: 0.6666666666666666
• Macro Recall: 0.6666666666666666
• Micro Recall: 0.8
• Weighted Recall: 0.8

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/FuriouslyAsleep/autonlp-markingClassifier-661319476

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("FuriouslyAsleep/autonlp-markingClassifier-661319476", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("FuriouslyAsleep/autonlp-markingClassifier-661319476", use_auth_token=True)

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

outputs = model(**inputs)