Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
sentiment
positive
negative
review
imdb
text-embeddings-inference
Instructions to use LukeGPT88/imdb_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LukeGPT88/imdb_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LukeGPT88/imdb_text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LukeGPT88/imdb_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("LukeGPT88/imdb_text_classifier") - Notebooks
- Google Colab
- Kaggle
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README.md
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- Loss: 0.2265
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- Accuracy: 0.9312
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## Model description
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## Intended uses & limitations
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- Loss: 0.2265
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- Accuracy: 0.9312
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## Intended uses & limitations
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More information needed
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