Modelpublic

Kamuuung/autonlp-lessons_tagging-606217261

sourceHugging Faceupdated 5y agoView on Hugging Face

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Model Card

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)