Instructions to use andreasmadsen/efficient_mlm_m0.80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andreasmadsen/efficient_mlm_m0.80 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="andreasmadsen/efficient_mlm_m0.80")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("andreasmadsen/efficient_mlm_m0.80") model = AutoModelForMaskedLM.from_pretrained("andreasmadsen/efficient_mlm_m0.80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b3f62a04ff05199c53a4c2ff22c79c59244a57dbeb46ac5f8c72102f8264d58
- Size of remote file:
- 1.42 GB
- SHA256:
- 27eff203a7d4037c336e1b07fc81ad3f1151cc99f081e1304712808c36cdfa57
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