metadata

tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Someshfengde/autonlp-data-kaggledays
co2_eq_emissions: 28.622267513847273

Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 625717992
CO2 Emissions (in grams): 28.622267513847273

Validation Metrics

Loss: 0.8782362937927246
Accuracy: 0.6022282660559214
Macro F1: 0.6024258279848015
Micro F1: 0.6022282660559214
Weighted F1: 0.6024299908624371
Macro Precision: 0.604093172183357
Micro Precision: 0.6022282660559214
Weighted Precision: 0.6041166306778806
Macro Recall: 0.6022424576798522
Micro Recall: 0.6022282660559214
Weighted Recall: 0.6022282660559214

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-625717992

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Someshfengde/autonlp-kaggledays-625717992", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Someshfengde/autonlp-kaggledays-625717992", use_auth_token=True)

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

outputs = model(**inputs)