metadata

tags:
  - autotrain
  - text-classification
language:
  - unk
widget:
  - text: I love AutoTrain 🤗
datasets:
  - tkurtulus/autotrain-data-tktktk
co2_eq_emissions:
  emissions: 1.2718440164245879

Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 3023686751
CO2 Emissions (in grams): 1.2718

Validation Metrics

Loss: 0.489
Accuracy: 0.839
Macro F1: 0.767
Micro F1: 0.839
Weighted F1: 0.832
Macro Precision: 0.782
Micro Precision: 0.839
Weighted Precision: 0.845
Macro Recall: 0.770
Micro Recall: 0.839
Weighted Recall: 0.839

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 AutoTrain"}' https://api-inference.huggingface.co/models/tkurtulus/autotrain-tktktk-3023686751

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("tkurtulus/autotrain-tktktk-3023686751", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("tkurtulus/autotrain-tktktk-3023686751", use_auth_token=True)

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

outputs = model(**inputs)