Text Classification
Transformers
Safetensors
English
bert
sentiment analysis
text classification
news
reviews
text-embeddings-inference
Instructions to use mervp/SentimentBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mervp/SentimentBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mervp/SentimentBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mervp/SentimentBERT") model = AutoModelForSequenceClassification.from_pretrained("mervp/SentimentBERT") - Notebooks
- Google Colab
- Kaggle
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Thanks for visiting and downloading this model!
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If this model helped you, please consider leaving a
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## How to use the model
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Thanks for visiting and downloading this model!
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If this model helped you, please consider leaving a like. Your support helps this model reach more developers and encourages further improvements if any.
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## How to use the model
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