Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 54590127716
- CO2 Emissions (in grams): 0.2797
Validation Metrics
- Loss: 0.122
- Accuracy: 0.979
- Precision: 0.963
- Recall: 1.000
- AUC: 0.988
- F1: 0.981
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/speedppc/autotrain-beeline-human-v2-54590127716
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("speedppc/autotrain-beeline-human-v2-54590127716", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("speedppc/autotrain-beeline-human-v2-54590127716", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)