README.md

metadata

tags: autonlp
language: unk
widget:
  - text: I love AutoNLP 🤗
datasets:
  - XYHY/autonlp-data-123
co2_eq_emissions: 69.86520391863117

Model Trained Using AutoNLP

• Problem type: Binary Classification
• Model ID: 478412765
• CO2 Emissions (in grams): 69.86520391863117

Validation Metrics

• Loss: 0.186362624168396
• Accuracy: 0.9539955699437723
• Precision: 0.9527454242928453
• Recall: 0.9572049481778669
• AUC: 0.9903929997079495
• F1: 0.9549699799866577

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/XYHY/autonlp-123-478412765

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("XYHY/autonlp-123-478412765", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("XYHY/autonlp-123-478412765", use_auth_token=True)

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

outputs = model(**inputs)