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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)
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