Instructions to use Wexo78/sentinel-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wexo78/sentinel-model with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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tags:
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- transformers
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- text-classification
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- sentiment-analysis
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---
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# Sentiment Analysis Model
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This model is fine-tuned for sentiment classification (positive/negative).
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## Model Details
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- **Base Model:** `bert-base-uncased`
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- **Task:** Sentiment Analysis (Text Classification)
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- **Fine-Tuned On:** IMDB Movie Reviews Dataset
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