Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 813325491
CO2 Emissions (in grams): 20.58663910106142

Validation Metrics

Loss: 1.3628994226455688
Accuracy: 0.5920355494787216
Macro F1: 0.4844439507523978
Micro F1: 0.5920355494787216
Weighted F1: 0.5873137663478112
Macro Precision: 0.5458988948121151
Micro Precision: 0.5920355494787216
Weighted Precision: 0.591386299522425
Macro Recall: 0.4753100798358001
Micro Recall: 0.5920355494787216
Weighted Recall: 0.5920355494787216

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/crcb/autotrain-go_emo_new-813325491

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("crcb/autotrain-go_emo_new-813325491", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("crcb/autotrain-go_emo_new-813325491", use_auth_token=True)

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

outputs = model(**inputs)