Instructions to use helmo/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helmo/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="helmo/distilbert-base-uncased-finetuned-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("helmo/distilbert-base-uncased-finetuned-imdb") model = AutoModelForMaskedLM.from_pretrained("helmo/distilbert-base-uncased-finetuned-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57547077f177c4eef6d9137a1a485605b8b6f7e280c85ede3c87f62e09b00f31
- Size of remote file:
- 5.37 kB
- SHA256:
- 6917948dea072cf82726c763ab3786e86f18e8201021fb31709f5e2e425d2a54
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