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Wexo78
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sentinel-model

Text Classification
Transformers
Safetensors
bert
sentiment-analysis
text-embeddings-inference
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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="Wexo78/sentinel-model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("Wexo78/sentinel-model")
model = AutoModelForSequenceClassification.from_pretrained("Wexo78/sentinel-model")
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Sentiment Analysis Model

This model is fine-tuned for sentiment classification (positive/negative).

Model Details

  • Base Model: bert-base-uncased
  • Task: Sentiment Analysis (Text Classification)
  • Fine-Tuned On: IMDB Movie Reviews Dataset
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Model size
0.1B params
Tensor type
F32
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