Instructions to use andreasmadsen/efficient_mlm_m0.40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.40 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.40")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.40") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.40") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11694dc353118ff2677b054bd5205b906055f48ba7a4b90ed9ff21abe2551d95
- Size of remote file:
- 1.42 GB
- SHA256:
- 4eead6953da2911dde53b6f83af10fd64f7647a7af68ec73cb61e881edeeeb0f
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