Instructions to use shivalikasingh/distilbert-base-uncased-finetuned-movie-genre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivalikasingh/distilbert-base-uncased-finetuned-movie-genre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shivalikasingh/distilbert-base-uncased-finetuned-movie-genre")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shivalikasingh/distilbert-base-uncased-finetuned-movie-genre") model = AutoModelForSequenceClassification.from_pretrained("shivalikasingh/distilbert-base-uncased-finetuned-movie-genre") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56c9ffe5721482d82eb2832ae37b9dc9cbffcdfbcc388969b3651ec52abab165
- Size of remote file:
- 268 MB
- SHA256:
- 9609c4af40b676100a317a1450c42540c037c1ebecc2c19c4fc65ff9155f30ae
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