Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 2345673819
- CO2 Emissions (in grams): 4.0438
Validation Metrics
- Loss: 2.342
- Accuracy: 0.631
- Macro F1: 0.542
- Micro F1: 0.631
- Weighted F1: 0.546
- Macro Precision: 0.514
- Micro Precision: 0.631
- Weighted Precision: 0.515
- Macro Recall: 0.617
- Micro Recall: 0.631
- Weighted Recall: 0.631
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/famube/autotrain-ciap-2345673819
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("famube/autotrain-ciap-2345673819", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("famube/autotrain-ciap-2345673819", use_auth_token=True)
inputs = tokenizer("dor de cabeça", return_tensors="pt")
outputs = model(**inputs)