Instructions to use gritli/bert-sentiment-analyses-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gritli/bert-sentiment-analyses-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gritli/bert-sentiment-analyses-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gritli/bert-sentiment-analyses-imdb") model = AutoModelForSequenceClassification.from_pretrained("gritli/bert-sentiment-analyses-imdb") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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pipeline_tag: text-classification
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license: apache-2.0
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pipeline_tag: text-classification
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datasets:
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- carblacac/twitter-sentiment-analysis
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language:
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- nl
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- en
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- es
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