sasha/autotrain-BERTBase-TweetEval-1281248998

Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1281248998
• CO2 Emissions (in grams): 0.1031

Validation Metrics

• Loss: 0.602
• Accuracy: 0.746
• Macro F1: 0.718
• Micro F1: 0.746
• Weighted F1: 0.743
• Macro Precision: 0.740
• Micro Precision: 0.746
• Weighted Precision: 0.744
• Macro Recall: 0.705
• Micro Recall: 0.746
• Weighted Recall: 0.746

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-BERTBase-TweetEval-1281248998

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("sasha/autotrain-BERTBase-TweetEval-1281248998", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("sasha/autotrain-BERTBase-TweetEval-1281248998", use_auth_token=True)

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

outputs = model(**inputs)