Instructions to use TirthDesai/IMDB-Reviews-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TirthDesai/IMDB-Reviews-Analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TirthDesai/IMDB-Reviews-Analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TirthDesai/IMDB-Reviews-Analysis") model = AutoModelForSequenceClassification.from_pretrained("TirthDesai/IMDB-Reviews-Analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d650a038ec09f55a1a50c8fa449bf07c8be0080a995acf9e24475957ca36ca77
- Size of remote file:
- 15.6 MB
- SHA256:
- b209dc0330ee769d7f30017eac6a3cff29d28f0c27601bbf3a04a83a9ae1df23
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