karalif/simple-test-model

1---2tags:3- autotrain4- text-classification5language:6- unk7widget:8- text: "I love AutoTrain 🤗"9datasets:10- karalif/autotrain-data-formality660011co2_eq_emissions:12  emissions: 0.01002738979390455113---14 15# Model Trained Using AutoTrain16 17- Problem type: Binary Classification18- Model ID: 375729996719- CO2 Emissions (in grams): 0.010020 21## Validation Metrics22 23- Loss: 0.23324- Accuracy: 0.91225- Precision: 0.90626- Recall: 0.92227- AUC: 0.97028- F1: 0.91429 30## Usage31 32You can use cURL to access this model:33 34```35$ 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/karalif/autotrain-formality6600-375729996736```37 38Or Python API:39 40```41from transformers import AutoModelForSequenceClassification, AutoTokenizer42 43model = AutoModelForSequenceClassification.from_pretrained("karalif/autotrain-formality6600-3757299967", use_auth_token=True)44 45tokenizer = AutoTokenizer.from_pretrained("karalif/autotrain-formality6600-3757299967", use_auth_token=True)46 47inputs = tokenizer("I love AutoTrain", return_tensors="pt")48 49outputs = model(**inputs)50```