Hugging Face's logo

Someshfengde
/
autonlp-kaggledays-625717986

Text Classification
Transformers
PyTorch
English
bert
Trained with AutoTrain
Inference Endpoints
Model card Files Community
autonlp-kaggledays-625717986 / README.md
abhishek's picture
abhishek HF staff
Commit From AutoNLP
7f852a4
preview code
|
raw
history blame contribute delete
1.39 kB
metadata
tags: autonlp
language: en
widget:
  - text: I love AutoNLP 🤗
datasets:
  - Someshfengde/autonlp-data-kaggledays
co2_eq_emissions: 68.73074770596023

Model Trained Using AutoNLP

  • Problem type: Multi-class Classification
  • Model ID: 625717986
  • CO2 Emissions (in grams): 68.73074770596023

Validation Metrics

  • Loss: 0.859463632106781
  • Accuracy: 0.6118427330852181
  • Macro F1: 0.6112554383858383
  • Micro F1: 0.6118427330852181
  • Weighted F1: 0.6112706859556324
  • Macro Precision: 0.6121119616189625
  • Micro Precision: 0.6118427330852181
  • Weighted Precision: 0.6121068719118146
  • Macro Recall: 0.6118067898609261
  • Micro Recall: 0.6118427330852181
  • Weighted Recall: 0.6118427330852181

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-625717986

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Someshfengde/autonlp-kaggledays-625717986", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Someshfengde/autonlp-kaggledays-625717986", use_auth_token=True)

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

outputs = model(**inputs)