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kwang123
/
bert-sentiment-analysis

Text Classification
Transformers
PyTorch
English
bert
text-embeddings-inference
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xet
 Community
1
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="kwang123/bert-sentiment-analysis")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("kwang123/bert-sentiment-analysis")
model = AutoModelForSequenceClassification.from_pretrained("kwang123/bert-sentiment-analysis")
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BERT-Sentiment_Analysis

Fine-tuned BERT-base-uncased on argilla/twitter-coronavirus

  • F1 Score: 0.842050
  • Accuracy: 0.842515
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Dataset used to train kwang123/bert-sentiment-analysis

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