6emotions – AI Model by SH-W | AlphaNeural AI

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SH-W/
6emotions

like

0

text-classification

SH-W/autotrain-data-koichi

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 77017140438
CO2 Emissions (in grams): 1.7724

Validation Metrics

Loss: 0.943
Accuracy: 0.683
Macro F1: 0.693
Micro F1: 0.683
Weighted F1: 0.680
Macro Precision: 0.708
Micro Precision: 0.683
Weighted Precision: 0.697
Macro Recall: 0.698
Micro Recall: 0.683
Weighted Recall: 0.683

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/SH-W/autotrain-koichi-77017140438

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("SH-W/autotrain-koichi-77017140438", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("SH-W/autotrain-koichi-77017140438", use_auth_token=True)

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

outputs = model(**inputs)