Instructions to use andreasmadsen/efficient_mlm_m0.30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.30")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.30") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.30") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8d8d105fef5cc84461ab582c4ae15c1eb88cfe8bbaa60bdf7f9d9242ce8345f
- Size of remote file:
- 1.42 GB
- SHA256:
- 12d8d19729f12dd5d374db8722f18f97200ba0fb5aa709dff9e433f76ffbcffc
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