Instructions to use SmartPy/distilbert-base-uncased-finetuned-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmartPy/distilbert-base-uncased-finetuned-cnn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SmartPy/distilbert-base-uncased-finetuned-cnn")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SmartPy/distilbert-base-uncased-finetuned-cnn") model = AutoModelForMaskedLM.from_pretrained("SmartPy/distilbert-base-uncased-finetuned-cnn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 318f5b2fcf5282a664587dabe33057588fad59e9915cbf167b845ac7384f8d92
- Size of remote file:
- 268 MB
- SHA256:
- 61908053893b00efaad008b610860d0abae58cdadb5529487b41b5c7252d8b45
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