Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 640218740
CO2 Emissions (in grams): 43.078469852595994

Validation Metrics

Loss: 0.8302136063575745
Accuracy: 0.7887341933835739
Macro F1: 0.5756730305293746
Micro F1: 0.7887341933835739
Weighted F1: 0.7878942570915727
Macro Precision: 0.620883634472996
Micro Precision: 0.7887341933835739
Weighted Precision: 0.8009430092038783
Macro Recall: 0.5521761315904072
Micro Recall: 0.7887341933835739
Weighted Recall: 0.7887341933835739

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/gabitoo1234/autonlp-mut_uchile-640218740

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("gabitoo1234/autonlp-mut_uchile-640218740", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("gabitoo1234/autonlp-mut_uchile-640218740", use_auth_token=True)

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

outputs = model(**inputs)