autonlp-cyberlandr-ai-4-614417500 – AI Model by billfrench | AlphaNeural AI

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billfrench/
autonlp-cyberlandr-ai-4-614417500

like

0

text-classification

billfrench/autonlp-data-cyberlandr-ai-4

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 614417500
CO2 Emissions (in grams): 1.131603488976132

Validation Metrics

Loss: 1.4588216543197632
Accuracy: 0.3333333333333333
Macro F1: 0.225
Micro F1: 0.3333333333333333
Weighted F1: 0.2333333333333333
Macro Precision: 0.1875
Micro Precision: 0.3333333333333333
Weighted Precision: 0.20833333333333334
Macro Recall: 0.375
Micro Recall: 0.3333333333333333
Weighted Recall: 0.3333333333333333

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/billfrench/autonlp-cyberlandr-ai-4-614417500

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("billfrench/autonlp-cyberlandr-ai-4-614417500", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("billfrench/autonlp-cyberlandr-ai-4-614417500", use_auth_token=True)

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

outputs = model(**inputs)