Model Trained Using AutoNLP

Problem type: Multi-class Classification
Model ID: 606217261
CO2 Emissions (in grams): 7.968891750522204

Validation Metrics

Loss: 0.989620566368103
Accuracy: 0.6777163904235728
Macro F1: 0.6817448899563519
Micro F1: 0.6777163904235728
Weighted F1: 0.6590820060806175
Macro Precision: 0.7028251935864661
Micro Precision: 0.6777163904235728
Weighted Precision: 0.6764567648776801
Macro Recall: 0.6861061576846053
Micro Recall: 0.6777163904235728
Weighted Recall: 0.6777163904235728

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/Kamuuung/autonlp-lessons_tagging-606217261

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Kamuuung/autonlp-lessons_tagging-606217261", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Kamuuung/autonlp-lessons_tagging-606217261", use_auth_token=True)

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

outputs = model(**inputs)