metadata
tags:
- text-classification
language:
- unk
co2_eq_emissions:
emissions: 3.8308885800495522
Validation Metrics
- Loss: 0.073
- Accuracy: 0.980
- Macro F1: 0.981
- Micro F1: 0.980
- Weighted F1: 0.980
- Macro Precision: 0.981
- Micro Precision: 0.980
- Weighted Precision: 0.980
- Macro Recall: 0.982
- Micro Recall: 0.980
- Weighted Recall: 0.980
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/asaderu/autotrain-sunnishia_2-3090387920
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("asaderu/autotrain-sunnishia_2-3090387920", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("asaderu/autotrain-sunnishia_2-3090387920", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)