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Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 35868888
CO2 Emissions (in grams): 186.8637425115097

Validation Metrics

Loss: 0.2020547091960907
Accuracy: 0.9233253193796257
Macro F1: 0.9240407542958707
Micro F1: 0.9233253193796257
Weighted F1: 0.921800586774046
Macro Precision: 0.9432284179846658
Micro Precision: 0.9233253193796257
Weighted Precision: 0.9247263361914827
Macro Recall: 0.9139437626409382
Micro Recall: 0.9233253193796257
Weighted Recall: 0.9233253193796257

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/bgoel4132/autonlp-twitter-sentiment-35868888

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bgoel4132/autonlp-twitter-sentiment-35868888", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bgoel4132/autonlp-twitter-sentiment-35868888", use_auth_token=True)

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

outputs = model(**inputs)

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