sasha/autotrain-DistilBERT-TweetEval-1281148992

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1281148992
• CO2 Emissions (in grams): 10.6761

Validation Metrics

• Loss: 0.606
• Accuracy: 0.728
• Macro F1: 0.710
• Micro F1: 0.728
• Weighted F1: 0.728
• Macro Precision: 0.716
• Micro Precision: 0.728
• Weighted Precision: 0.729
• Macro Recall: 0.706
• Micro Recall: 0.728
• Weighted Recall: 0.728

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-1281148992

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-DistilBERT-TweetEval-1281148992", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-DistilBERT-TweetEval-1281148992", use_auth_token=True)

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

outputs = model(**inputs)