Instructions to use Leonuraht/IMDBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Leonuraht/IMDBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Leonuraht/IMDBert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Leonuraht/IMDBert") model = AutoModelForSequenceClassification.from_pretrained("Leonuraht/IMDBert") - Notebooks
- Google Colab
- Kaggle
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This model is a fine-tuned version of `DistilBERT` for sentiment analysis on the IMDB movie reviews dataset. It classifies movie reviews into two categories: positive and negative sentiments.
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# DistilBERT Fine-Tuned on IMDB Sentiment Analysis
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This model is a fine-tuned version of `DistilBERT` for sentiment analysis on the IMDB movie reviews dataset. It classifies movie reviews into two categories: positive and negative sentiments.
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