Instructions to use leadingbridge/sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leadingbridge/sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leadingbridge/sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leadingbridge/sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("leadingbridge/sentiment-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: unlicense
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Training Mode:
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https://drive.google.com/file/d/1wis-BEY5OsXalBdl5-MVtaW19h3Ook2X/view?usp=sharing
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Output Model:
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https://drive.google.com/file/d/1wjAGOU3lXH44fj8Xzzx9qwSRFg2LLhmW/view?usp=sharing
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license: unlicense
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---
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Training Mode:
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https://drive.google.com/file/d/1wis-BEY5OsXalBdl5-MVtaW19h3Ook2X/view?usp=sharing
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Output Model:
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https://drive.google.com/file/d/1wjAGOU3lXH44fj8Xzzx9qwSRFg2LLhmW/view?usp=sharing
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