Instructions to use kbalde/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kbalde/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kbalde/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kbalde/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("kbalde/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72f414a0ab167e5f2ec77c988600f9e0920ed9eefff845378d156f58da3367b1
- Size of remote file:
- 3.44 kB
- SHA256:
- 49a49e3b40ca224c6971fc572bfc5aeba144577e5db30cd2cc100731cac483b0
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