Instructions to use kennethge123/imdb-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kennethge123/imdb-t5-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kennethge123/imdb-t5-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kennethge123/imdb-t5-base") model = AutoModelForSequenceClassification.from_pretrained("kennethge123/imdb-t5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b42dae9d4523fdb79de4615af69d3b73e9b42e02221590b65b803faaec2931ec
- Size of remote file:
- 894 MB
- SHA256:
- f6bcf413871987a434445e7383584d2955015c35e8fa8389672d0975fe8d435d
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