Instructions to use sdanda99/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sdanda99/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sdanda99/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sdanda99/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("sdanda99/distilbert-base-uncased-finetuned-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d9274e983a6abb0248f75725aa9bcb26ac708db31acd20c3814858ad57483ea1
- Size of remote file:
- 268 MB
- SHA256:
- 1e66415b900961fdb48c76facb54e7427f5f5ef971a20ffa57b50ef63ce478e4
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