Instructions to use amarshiv86/sentiment-analysis-imdb-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amarshiv86/sentiment-analysis-imdb-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="amarshiv86/sentiment-analysis-imdb-model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("amarshiv86/sentiment-analysis-imdb-model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
ci: update metrics.json
Browse files- metrics.json +7 -0
metrics.json
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{
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"accuracy": 0.47,
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"f1": 0.0,
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"roc_auc": 0.7784,
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"precision": 0.0,
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"recall": 0.0
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}
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