Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 94165146009
CO2 Emissions (in grams): 0.0218

Validation Metrics

Loss: 0.471
Accuracy: 0.869
Macro F1: 0.388
Micro F1: 0.869
Weighted F1: 0.841
Macro Precision: 0.468
Micro Precision: 0.869
Weighted Precision: 0.825
Macro Recall: 0.358
Micro Recall: 0.869
Weighted Recall: 0.869

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 AutoTrain"}' https://api-inference.huggingface.co/models/NikoSmow/autotrain-user_needs_full_train_test_split-94165146009

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("NikoSmow/autotrain-user_needs_full_train_test_split-94165146009", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("NikoSmow/autotrain-user_needs_full_train_test_split-94165146009", use_auth_token=True)

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

outputs = model(**inputs)