Instructions to use stromdotcom/imdb-finetuned-distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stromdotcom/imdb-finetuned-distilbert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="stromdotcom/imdb-finetuned-distilbert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("stromdotcom/imdb-finetuned-distilbert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("stromdotcom/imdb-finetuned-distilbert-base-uncased") - Notebooks
- Google Colab
- Kaggle
A test model repo, distilbert-base-uncased trained for sentiment analysis using the imdb reviews dataset.
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