Model Trained Using AutoTrain

Problem type: Multi-class Classification
Model ID: 1281148995
CO2 Emissions (in grams): 6.4364

Validation Metrics

Loss: 0.615
Accuracy: 0.729
Macro F1: 0.712
Micro F1: 0.729
Weighted F1: 0.729
Macro Precision: 0.719
Micro Precision: 0.729
Weighted Precision: 0.732
Macro Recall: 0.707
Micro Recall: 0.729
Weighted Recall: 0.729

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/sasha/autotrain-DistilBERT-TweetEval-1281148995

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-DistilBERT-TweetEval-1281148995", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-DistilBERT-TweetEval-1281148995", use_auth_token=True)

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

outputs = model(**inputs)