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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Aug18_20-35-57_8a0d6ee7c020/events.out.tfevents.1660854985.8a0d6ee7c020.17.2
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