Instructions to use andreasmadsen/efficient_mlm_m0.40-801010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.40-801010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.40-801010")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.40-801010") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.40-801010") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f341bd00cfedd9682890c4ee6deb6dc0c23367e0f39c578c99340b435aa6b931
- Size of remote file:
- 1.42 GB
- SHA256:
- 1fb04d8417234357403a5aa53c8fc56cb86d678e03366d116617c2d12166dd5b
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