Instructions to use HusseinEid/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HusseinEid/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="HusseinEid/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("HusseinEid/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("HusseinEid/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18093bc47d04041aa98528b3aebb44a29c027d77efc75ab8a8c70ec23b40fad3
- Size of remote file:
- 268 MB
- SHA256:
- df93f3b2c9b240d47ef5b704507ecd15f2ac6bd6df8ab923b6e68f098c580bc6
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