Instructions to use Iftisyed/Distilbertmodelmlm1973 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Iftisyed/Distilbertmodelmlm1973 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Iftisyed/Distilbertmodelmlm1973")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Iftisyed/Distilbertmodelmlm1973") model = AutoModelForMaskedLM.from_pretrained("Iftisyed/Distilbertmodelmlm1973", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d13276e147787297123e91b0beeb004f9106c2695b79e5ca6cfe21d1bab948ff
- Size of remote file:
- 329 MB
- SHA256:
- a2637fa67abf52534b950b8c9f672b7e04e9ad9189bc3d58c50204a0e6c916ec
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