Instructions to use ksaml/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksaml/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ksaml/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ksaml/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("ksaml/distilbert-base-uncased-finetuned-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7038d7f829e08707afdaf6bf325099a481694a028550c42b73db647baea3417
- Size of remote file:
- 3.58 kB
- SHA256:
- cb2406c1e7c310ae1eef48fbf1478f6624b65efadeb4e9db1cbe0f5c9634a53d
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