autonlp-TREC-classification-522314623 – AI Model by lucianpopa | AlphaNeural AI | AlphaNeural AI

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lucianpopa/
autonlp-TREC-classification-522314623

like

0

text-classification

lucianpopa/autonlp-data-TREC-classification

co2_eq_emissions

autotrain_compatible

endpoints_compatible

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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 522314623
CO2 Emissions (in grams): 15.186006626915715

Validation Metrics

Loss: 0.24612033367156982
Accuracy: 0.9643183897529735
Macro F1: 0.9493690949638435
Micro F1: 0.9643183897529735
Weighted F1: 0.9642384162837268
Macro Precision: 0.9372705571897225
Micro Precision: 0.9643183897529735
Weighted Precision: 0.9652870438320825
Macro Recall: 0.9649638583139503
Micro Recall: 0.9643183897529735
Weighted Recall: 0.9643183897529735

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/lucianpopa/autonlp-TREC-classification-522314623

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("lucianpopa/autonlp-TREC-classification-522314623", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("lucianpopa/autonlp-TREC-classification-522314623", use_auth_token=True)

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

outputs = model(**inputs)