Instructions to use aman38649/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aman38649/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="aman38649/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("aman38649/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("aman38649/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d3014cbef208c1739fa3231b836b86fbaabf79644076033d835755cc5861d0f
- Size of remote file:
- 363 MB
- SHA256:
- d1b8cd32b6cdcbe6c69a2f294dcf969d9d285e21b0dae2dd3286473288385f10
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