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:
- c23363b1293672813454f29924841aafad570c905e73fff0366116a58f1e436d
- Size of remote file:
- 4.03 kB
- SHA256:
- 5c3f2c33824465604a1483155626e86c1051bfac8fe52ba7d6db3e1cb80bb282
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