Instructions to use JJinBBangMan/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JJinBBangMan/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="JJinBBangMan/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("JJinBBangMan/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("JJinBBangMan/distilbert-base-uncased-finetuned-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 341e72aab19e2e94018fc66300ae3b1afbd5a9b8bc7987bb373daa60a9613905
- Size of remote file:
- 268 MB
- SHA256:
- 8e51a5b81183a56f0b1cb733f995f40db52d6eb406404d805d6cf5d8abbfe1eb
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